Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization (abstract)

Computing Approximate $\ell_p$ Sensitivities (abstract)

A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport (abstract)

A simple uniformly optimal method without line search for convex optimization (abstract)

Quantum Algorithms for Scientific Computation and Optimization Problems (abstract)

Quantum communication complexity of linear regression (abstract)

Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling (abstract)

Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions (abstract)

Determining Sharp Proximity Bounds For Low Row Rank and $\Delta$-Modularity (abstract)

Tensor completion via integer optimization (abstract)

Parallelized Conflict Graph Cut Generation (abstract)

Strategy Investments in Matrix Games (abstract)

Adaptive Surrogate Modeling for Trajectory Optimization with Model Inexactness (abstract)

Optimization under Rare Chance Constraints (abstract)

Fast iterative solvers for initial value control problems with application to diffeomorphic image registration (abstract)

Neural Network Approaches for Parameterized Optimal Control (abstract)

A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming (abstract)

Sublevel-Set Geometry and the Performance of restarted-PDHG for Linear and Conic Optimization (abstract)

Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient (abstract)

Improving the Geometry of Linear and Conic Optimization Problems for restarted-PDHG (abstract)

Stochastic derivative-free optimization algorithms using random subspace strategies (abstract)

Branch-and-Model: A Derivative-free Global Optimization Algorithm (abstract)

First-order Trust-region Methods with Adaptive Sampling (abstract)

Enabling Scale-up through Multi-fidelity Adaptive Computing (abstract)

Wasserstein Regularization for 0-1 Loss (abstract)

A tractable smart predict-then-optimize algorithm beyond the realizable case (abstract)

PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization (abstract)

Regularization for Adversarial Robust Learning (abstract)

Coordinate Partitioning for Difficult Euclidean Max-Sum Diversity Problems (abstract)

Boosted Difference of Convex Algorithms for Clustering with Constraints (abstract)

Efficient relax-and-cut separation in a branch-and-cut solver (abstract)

Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe (abstract)

Joint Expansion Planning of Power and Water Distribution Networks (abstract)

Designing Resilient Relay Logistics Networks Using k Shortest Paths (abstract)

Data Storage and Sharing Scheme Based on Double Blockchain and Proxy Re-Encryption (abstract)

Online Resource Allocation with Predictions (abstract)

Spectral Bundle Methods For Primal And Dual Semidefinite Programs (abstract)

A globally convergent difference-of-convex algorithmic framework and application to log-determinant optimization problems (abstract)

Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition (abstract)

Uncertainty Quantification of Set-Membership Estimation in Control and Perception: Revisiting the Minimum Enclosing Ellipsoid (abstract)

A Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming Based on a Hybrid Convex-Nonconvex Approach (abstract)

A Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming Based on a Hybrid Convex-Nonconvex Approach: Part II (abstract)

An Adaptive Block Proximal ADMM for Weakly Convex, Linearly-Constrained Composite Functions. (abstract)

Problem-dependent convergence analysis for randomized linear gradient compression (abstract)

Optimal Minimax Optimization and Variational Inequalities with Separable Structure (abstract)

Stochastic Controlled Averaging for Federated Learning with Communication Compression (abstract)

On the Adversarial Robustness of Benjamini Hochberg (abstract)

Mirror descent for multi-armed bandits (abstract)

Partially observable multi-agent RL with (quasi-)efficiency: The blessing of information sharing (abstract)

Last-Iterate Convergence for Learning in Games (abstract)

Efficiently Computing Nash Equilibria in Adversarial Team Markov Games (abstract)

High probability and risk-averse guarantees for stochastic saddle point problems (abstract)

An Exponential Quantum Advantage for Approximating Directed Max Cut in Graph Streams (abstract)

Universal Quantum Speedup for Branch-and-Bound, Branch-and-Cut, and Tree-Search Algorithms (abstract)

Quantum algorithms and software for nonconvex optimization (abstract)

On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks (abstract)

A characterization of simultaneous optimization, majorization, and (bi)submodular polyhedra (abstract)

On the structure of the inverse-feasible region of a multiobjective integer program (abstract)

Pareto Leap: An Algorithm for Biobjective Mixed-Integer Programming (abstract)

Relaxation and Duality for Multiobjective Integer Programming (abstract)

Dynamic Parameter Estimation in Deterministic Dynamical Systems (abstract)

Optimization on Measure Spaces with Regular Divergences and Mixed Boundary Conditions (abstract)

A Discontinuous Galerkin Method for Optimal Control Problem of the Obstacle Problem (abstract)

Risk-averse optimization using randomized quasi-Monte Carlo methods (abstract)

Computational and duality properties of Hoffman constants (abstract)

cuPDLP.jl: A GPU Implementation of Restarted Primal-Dual Hybrid Gradient for Linear Programming in Julia (abstract)

Worst-case analysis of restarted primal-dual hybrid gradient on totally unimodular linear programs (abstract)

A feasible method for general convex low-rank SDP problems (abstract)

Scalable Climate-Aware Power Grid Capacity Expansion using MPI-SPPY (abstract)

A filter trust-region continuation method for contact optimization and complementarity problems (abstract)

Diagnostic Tools for Nonlinear Optimization (abstract)

Mathematical Modeling in Gravity: Lessons Learned (abstract)

Impact of Uncertainty on Fairness (abstract)

Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective (abstract)

The Terminator: An Integration of Inner and Outer Approximations for Solving Regular and Distributionally Robust Chance Constrained Programs via Variable Fixing (abstract)

Learning Decision-Focused Uncertainty Sets in Robust Optimization (abstract)

AI Hilbert: A New Paradigm for Scientific Discovery by Unifying Data and Background Knowledge (abstract)

Gain Confidence, Reduce Disappointment: A New Approach to Cross-Validation for Sparse Regression (abstract)

Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression (abstract)

Stability Analysis of Discrete-Time Linear Complementarity Systems (abstract)

Derivation and Generation of Path-Based Valid Inequalities for Transmission Expansion Planning with New Bus Integration (abstract)

Intertemporal Uncertainty Management in Gas-Electric Energy Systems using Stochastic Finite Volumes (abstract)

A Compact Formulation for Dense Fixed-Charge Network Flow Problems (abstract)

Convex Hull Pricing in Electricity Markets: Evidence from a Large US Market (abstract)

Bayesian Strategies for Numerical Solutions in Nonlinear Fractional Order Systems: A Focus on Cutaneous Leishmaniasis (abstract)

LINE-SEARCH BASED OPTIMIZATION USING FUNCTION APPROXIMATIONS WITH TUNABLE ACCURACY (abstract)

Optimization in hybrid controlled systems with piecewise-smooth systems' dynamics. (abstract)

Optimality analysis and duality conditions for a class of conic semi-infinite program having vanishing constraints (abstract)

Interior point method for tensor optimal transport, spectral radius of nonnegative tensors and hypergraphs (abstract)

Solving Tall Dense SDPs in the Current Matrix Multiplication Time (abstract)

A Higher-Order Interior Point Method for Semidefinite Optimization Problems Failing Strict Complementarity Condition (abstract)

A Stochastic GDA Method with Backtracking for Solving Nonconvex (Strongly) Concave Minimax Problems (abstract)

Towards Provable Gradient Descent Ascent Dynamics in Hidden Structure (abstract)

f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization (abstract)

Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization (abstract)

Co-Design of Complex Systems: From Autonomy to Future Mobility Systems (abstract)

Follower Agnostic Methods for Stackelberg Games (abstract)

Modeling Processes of Neighborhood Change (abstract)

When Simple is (Near)-Optimal in Security Games for Urban Transportation (abstract)

Sensitivity analysis for mixed binary quadratic programming (abstract)

Fair Minimum Representation Clustering (abstract)

DeLuxing: Deep Lagrangian Underestimate Fixing for Column-Generation-Based Exact Methods (abstract)

M-Decomposable Sets in Integer Programming (abstract)

Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems (abstract)

An Inexact Conditional Gradient Method for Constrained Bilevel Optimization (abstract)

In-Context Convergence of Transformers (abstract)

Min-Max Problems with Coupled Constraints: Theory and Algorithms (abstract)

Linear programming using diagonal linear networks (abstract)

New Developments of ADMM-based Interior Point Methods for Linear Programming and Conic Programming (abstract)

Recent advances in the COPT conic optimizer (abstract)

EXPRESS: Automatic Convexity Detection and Transformation to Conic Forms for Nonlinear Optimization (abstract)

Accelerated Nonlinear Programming on GPUs: Implementing Solver and Automatic Differentiation (abstract)

Optimizing AC Power Flow by Exploiting the Power Flow Manifold (abstract)

Scalable, high performance linear solvers for nonlinear constrained optimization problems (abstract)

Frequency Recovery in Power Grids using High-Performance Computing (abstract)

Online Rack Placement in Large-scale Data Centers (abstract)

Minimum Cost Adaptive Submodular Cover (abstract)

A Semidefinite Hierarchy for Expected Independence Numbers of Random Graphs (abstract)

Adaptive Bin Packing with Overflow (abstract)

Learning to Accelerate the Global Optimization of Quadratically-Constrained Quadratic Programs (abstract)

A Generalizable End-to-End Learning Approach for Global Optimization of Quadratically-Constrained Quadratic Programs (abstract)

Solution of disjoint bilinear programs using simplicial branch-and-bound (abstract)

Bounding-Focused Discretization Methods for the Global Optimization of Nonconvex Semi-Infinite Programs (abstract)

Backhaul Profit Maximization with Multiple Vehicles (abstract)

Pricing and Routing Strategy to Maximize Profit in Congested Roads Considering Interactions with Travelers (abstract)

Integer programming formulations for partitioning a graph into low-diameter clusters (abstract)

The edge-based contiguous p-median problem with connections to territorial districting (abstract)

A study on two-metric projection methods (abstract)

First-order Methods for Bilevel Optimization (abstract)

[REFEREED PAPER TRACK ONLY] Convergence Guarantees of a Distributed Network Equivalence Algorithm for Distribution-OPF (abstract)

Toward a grand unified theory of accelerations in optimization and machine learning (abstract)

Learning and Predictions in Power System Frequency Control (abstract)

Unit Commitment without Commitment: A Dynamic Framework for Managing an Integrated Energy System Under Uncertainty (abstract)

Systemic Risk Measures Based On Value-at-Risk (abstract)

Sectoral portfolio optimization by judicious selection of financial ratios via PCA (abstract)

A Multiparametric Programming Approach to Accelerate Neural Network based Model Predictive Control (abstract)

Improved Airline Network Topologies for Building Resilient & Robust Aviation Infrastructures (abstract)

Edge-concave Underestimators and Relaxations for Deterministic Global Optimization (abstract)

A Hierarchy of Nonconvex Continuous Reformulations for Discrete Optimization (abstract)

Efficient Pre-training on Massive Datasets: A Data perspective (abstract)

Adaptive Experimentation at Scale (abstract)

In-context learning of linear functions with gradient descent (an invited talk) (abstract)

How well do learning and dimension reduction methods for nonlinear dynamics generalize? (abstract)

Branch-and-price for prescriptive contagion analytics (abstract)

Electric Vehicle Routing: Subpath-Based Decomposition (abstract)

Pricing Shared Rides (abstract)

Submodular Dispatching with Multiple Vehicles (abstract)

Risk-Aware Security-Constrained Unit Commitment (abstract)

Performance Risk Scoring of Risk-free Renewable Generation Bids (abstract)

ABSCORES, Managing Risk and Uncertainty in Electricity Systems Using Banking Scoring and Rating Methodologies (abstract)

Optimizing design and dispatch of a renewable energy system with combined heat and power (abstract)

Local convergence of a sequential quadratic programming method for a class of nonsmooth nonconvex objectives (abstract)

A new working set method for nonlinear optimization (abstract)

Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems (abstract)

Optimization with Superquantile Constraints: A Fast Computational Approach (abstract)

A Quantum-Classical Performance Separation in Nonconvex Optimization (abstract)

Analysis of Quantum Linear System Algorithms for Linear Systems in Tensor Format (abstract)

Divide and conquer approach for distributed quantum computing (abstract)

Rigorously Approximating the Local Hamiltonian Problem (abstract)

Towards Non-stationary Bayesian Nonparametrics (abstract)

Stochastic Average Model Methods (abstract)

Integration of Machine Learning and Genetic Algorithm as a Generative Model (abstract)

Cost-Optimization of Process-Scale Desalination Systems Incorporating Surrogate-based Water Chemistry Models (abstract)

Adversarially Robust Optimal Control with Causal Transport Distance (abstract)

Multi-stage stochastic programming for integrated hurricane relief logistics and evacuation planning (abstract)

Data-driven Policies for Multistage Stochastic Programming (abstract)

Adaptive Multistage Stochastic Programming (abstract)

Hicksian Unit-Demand Pricing (abstract)

Min-max-min Optimization with Smooth and Strongly Convex Objectives (abstract)

Convex Inverse Mixed-Integer Linear Programming (abstract)

Learning Discrete-Time Markov Chains from Aggregate Data (abstract)

Recent advances in computing Nash equilibria in Markov Games (abstract)

Two-Timescale Q-Learning with Function Approximation in Zero-Sum Markov Games (abstract)

Decentralized and Networked Policy Gradient for Solving Markov Potential Games (abstract)

Optimistic Policy Iteration In Linearly-Solvable Multi-Agent Games (abstract)

Minimal representations of generalized power cones (abstract)

Integer Points in Convex Cones: The Case of PSD and SOC (abstract)

Mixture Model for Contextual Route Choice in Multimodal Transportation Systems (abstract)

Profits or Loss: Installing Electric Vehicle Chargers on Public Parking Lots (abstract)

An infeasible interior-point arc-search algorithm for spacecraft trajectory optimization (abstract)

Optimization of Bioenergy supply chain for agricultural waste by Considering Environmental Aspects in Ireland (abstract)

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction (abstract)

PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized Deep Neural Networks (abstract)

A linearly convergent Gauss-Newton subgradient method for ill-conditioned problems (abstract)

A superlinearly convergent subgradient method for nonsmooth optimization (abstract)

Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat (abstract)

Iterative algorithms for finding phase factors in Quantum signal processing (abstract)

Local minima in quantum systems (abstract)

Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models (abstract)

Maximum Load Assortment Optimization: Approximation Algorithms and Adaptivity Gaps (abstract)

Stochastic Scheduling: Strategies for Abandonment Management (abstract)

Random-order Contention Resolution via Continuous Induction: Tightness for Bipartite Matching under Vertex Arrivals (abstract)

Adaptivity Gaps in Two-sided Assortment Optimization (abstract)

Stochastic-Gradient-based Interior-Point Algorithms (abstract)

Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization (abstract)

Retrospective Approximation for Stochastic Constrained Problems Using Sequential Quadratic Programming (abstract)

Sequential Quadratic Programming for Noisy Equality Constrained Optimization with Rank-Deficient Jacobians (abstract)

A Review of Quantum Interior Point Methods - pros and cons (abstract)

Discrete Optimization: A Quantum Revolution? (abstract)

Quantum algorithms for linear differential equations beyond Hamiltonian simulation (abstract)

Recent Developments in the Cardinal Optimizer (abstract)

Second-Derivative SQP Methods for Nonconvex Nonlinear Optimization (abstract)

Algorithm NCL for constrained optimization: Overcoming LICQ (abstract)

An LDLT Quasi-Newton Trust-Region Method (abstract)

A Robust Approach to Locating Vaccination Centers for a Pandemic: A Problem Driven by Herd Immunity and Decision-Dependent Utility, with a Solution Framework (abstract)

A Successive Refinement Algorithm for Stochastic Programs with Decision-Dependent Distribution Functions (abstract)

Distributionally Robust Optimization with Multimodal Decision-Dependent Ambiguity Sets (abstract)

Residual-Based Distributionally Robust Optimization with Decision-Dependent Uncertainty (abstract)

A Bilevel Optimization Approach for a Class of Combinatorial Problems with Disruptions and Probing (abstract)

A branch-and-bound framework to solve a general class of three-stage interdiction games (abstract)

A Single-Level Reformulation of Integer Bilevel Programs using Decision Diagrams (abstract)

Value Function Projections for Discrete Bilevel Optimization (abstract)

Explicit solutions of the SI and Bass models on random networks (abstract)

Distributionally Ambiguous Multistage Stochastic Integer and Disjunctive Programs: Applications to Sequential Two-player Network Interdiction Games (abstract)

Fundamentals of Sparse Exact Linear Algebra (abstract)

The minimum feedback arc set problem over bidirectional graphs with an application to faculty hiring networks (abstract)

Machine learning enhanced meta-heuristic optimization algorithms for autonomous experimentation (abstract)

Hexaly, a new kind of global optimization solver (abstract)

Data-driven Parameter Estimation for Large-Scale Nonlinear Dynamical Systems (abstract)

Efficient Hybrid Simulation Optimization Via Graph Neural Network Metamodeling (abstract)

A Fokker-Planck optimal control framework in esophageal cancer (abstract)

A differential game framework for regulating aberrant signaling pathways in esophageal cancer (abstract)

Classifying with Uncertain DEA (abstract)

Blind Source Separation with Spatiotemporal Beamforming (abstract)

Stochastic Gradient Succeeds for Bandits (abstract)

On the Foundation of Distributionally Robust Reinforcement Learning (abstract)

Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Algorithm Design and Convergence Analysis (abstract)

HyperAgent: A Simple, Efficient and Scalable Reinforcement Learning Framework in Complex Environment (abstract)

Data-Driven Structured Reinforcement Learning: Foundations and Practice (abstract)

Hindsight Learning for MDPs with Exogenous Inputs (abstract)

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health (abstract)

Handling Action Space Constraints in Deep Reinforcement Learning (abstract)

An interesting generalization of the Koopman-Beckmans quadratic assignment problem (abstract)

Quadratic Combinatorial Optimization: A Polyhedral Characterization of Linearizable Instances (abstract)

Simple Randomized Rounding for Max-Min Eigenvalue Augmentation (abstract)

Tightening Linear Reformulations of 0-1 Cubic Knapsack Problems with Variable Reordering (abstract)

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks (abstract)

Towards a First-Order Algorithmic Framework for Wasserstein Distributionally Robust Optimization (abstract)

How do neural nets learn features of "simple" functions (abstract)

Can Learning Be Explained By Local Optimality In Low-rank Matrix Recovery? (abstract)

Facial Reduction for Semidefinite Relaxations of Combinatorial Optimization Problems (abstract)

O-minimal structures and central paths in nonlinear optimization (abstract)

A Peaceman-Rachford Splitting Method for the Protein Side-Chain Positioning Problem (abstract)

Performance Benchmarks of Quantum Annealing Hardware (abstract)

Federated Hierarchical Tensor Networks: a Collaborative Quantum AI-Driven Framework for Healthcare (abstract)

Optimization Applications as Quantum Performance Benchmarks (abstract)

Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications (abstract)

MSPLib and MSPFormat: A Library Of Problems and a New Standardized Data Format For Benchmarking Stochastic Dual Dynamic Programming (abstract)

Self-Adapting Network Relaxations for Weakly Coupled Markov Decision Processes (abstract)

A Data-Driven Multistage Stochastic-Robust Optimization Approach with Temporally Correlated Uncertainty (abstract)

Nonlinear Decision Rules Made Scalable by Nonparametric Liftings (abstract)

Exact Algorithm for Maximum Feasible Subsystem Problems with Uncertain Input Data (abstract)

Chance-Constrained Fractional Programming under Ambiguity -- Distributionally Robust Maximization of Ratio Exceedance Probability (abstract)

Proximal OA method for solving nonconvex MIQCQP (abstract)

Risk-Adaptive Local Decision Rules (abstract)

Applications of 0-1 Neural Networks in Prescription and Prediction (abstract)

Adaptive Optimization and Safe Reinforcement for Heparin Doseing (abstract)

Improving Patient Access via Primary Care Optimization (abstract)

Quantify Childbirth Care Inequity for Socioeconomically Disadvantaged Groups (abstract)

Surface Mount Technology (SMT) Production Line Scheduling by Computer Simulation and Genetic Algorithm (abstract)

A Novel Population Based Optimization Approach: GAGAN Algorithm for Traveling Salesman Problem (abstract)

Worm Optimization Algorithm to Solve for the Transportation Problem of Cross-Docking Network (abstract)

Tight Bounds for The Price of Fairness (abstract)

Achieving Group Fairness through Social Welfare Optimization (abstract)

Districting with Overlapping Service Regions (abstract)

Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement (abstract)

No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions (abstract)

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements (abstract)

Policy Mirror Descent Inherently Explores the Action Space (abstract)

Constrained Policy Optimization in Reinforcement Learning: A Tale of Regularization and Optimism (abstract)

Neuromancer: Differentiable Programming Library for Data-driven Modeling and Control (abstract)

Exploiting Observed Network Behavior for Accelerated Optimal Power Flow (abstract)

Adaptive Prescriptions for Optimal Power Flow under Uncertainty (abstract)

On the coupling between the scheduling of electrified fleets of buses travel and charging and grid pricing. (abstract)

Non-Monotonicity of Branching Rules with respect to Linear Relaxations (abstract)

Compressing Branch-and-Bound Trees (abstract)

Branch-and-Bound with Predictions for Variable Selection (abstract)

Branch-and-bound for D-Optimality with fast local search and variable-bound tightening (abstract)

Lower Complexity Bounds of First-order Methods for Affinely Constrained Composite Non-convex Problems (abstract)

Last-iterate convergence for convex function-constrained optimization (abstract)

Computing a directional stationary solution of DC programs via ADMM (abstract)

Optimal Regularization for a Data Source (abstract)

Any-dimensional convex sets (abstract)

Iterative Refinement for Semidefinite Optimization (abstract)

Computing implicit equalities of a linear inequality system (abstract)

Model Deployment with GAMS Engine (abstract)

The Best of Both Worlds - Integrating Python and GAMS (abstract)

AMPLS Solver Libraries (abstract)

Automatic Reformulations in AMPL’s New MP Solver Interface Library (abstract)

Adaptive Partitioning for Chance-Constrained Problems with Finite Support (abstract)

Integer Programming Approaches for Distributionally Robust Chance Constraints with Adjustable Risks (abstract)

Chance-Constrained Set k-Covering Problem (abstract)

Mixed-Integer Programming Formulations for Chance-Constrained Optimization with Mixture Models (abstract)

Local Search for Constrained Determinant Maximization (abstract)

Non-convex geodesic optimization for the Paulsen problem in Frame Theory (abstract)

Hidden convexity, optimization, and algorithms on rotation matrices (abstract)

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements (abstract)

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models (abstract)

Sparse Random Networks for Communication-Efficient Federated Learning (abstract)

Adaptive Federated Learning with Auto-Tuned Clients (abstract)

CyberTransfer: A Transfer Learning Approach for Enhancing Graph Neural Networks for Intrusion Detection (abstract)

Exploring Nonlinear Distance Metrics for Lipschitz Constant Estimation in Lower Bound Construction for Global Optimization (abstract)

A New Fast Proximal Point Algorithm for Monotone Inclusions (abstract)

A new path tracking algorithm for solving the CDT subproblem (abstract)

Deep Learning with Nontrivial Constraints (abstract)

Private Online Prediction from Experts: Separations and Faster Rates (abstract)

Advancements in Differentially Private Stochastic Convex Optimization: Towards Near-Linear Gradient Query Complexity (abstract)

Adversarial Robustness in the Streaming Model (abstract)

Nearly Optimal Algorithms for Privately Learning Thresholds and Approximating Median (abstract)

First-order methods for quantum entanglement detection (abstract)

Accelerating Continuous Variable Coherent Ising Machines via Momentum (abstract)

Constrained local Hamiltonians: quantum generalizations of Vertex Cover (abstract)

A Quantum Inspired Bi-level Optimization Algorithm for the First Responder Network Design Problem (abstract)

Dealing with disjunctive constraints in convex mixed-integer nonlinear programming: Efficient formulations and strong cuts (abstract)

Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables (abstract)

Building Formulations for Combinatorial Disjunctive Constraints via Biclique Covers (abstract)

Aggregated Limited-Memory Rank-1 Cuts (abstract)

Stochastic FISTA with fully adapative step sizes. (abstract)

Stochastic Adaptive Regularization Method with Cubics: A High Probability Complexity Bound (abstract)

Exploiting Negative Curvature in Conjunction with Adaptive Sampling: Theoretical Results and a Practical Algorithm (abstract)

Efficient Gradient Tracking Algorithmic Framework for Decentralized Optimization (abstract)

On the number of pivots of Dantzig's simplex methods for linear and convex quadratic programs (abstract)

Linear convergence of proximal point methods under Polyak-Łojasiewicz and quadratic growth conditions (abstract)

An Outer Approximation Method for Solving Mixed-Integer Convex Quadratic Programs with Indicators (abstract)

On Integer Programs with Irrational Data (abstract)

Symbolic Learning to Optimize (abstract)

Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization (abstract)

Accelerating Non-Convex Optimization via Learned Sequential Convexifications (abstract)

Neuromancer: Differentiable Programming Library for Learning to Optimize and Control (abstract)

New Sample Complexity Bounds for (Regularized) Sample Average Approximation in Several Heavy-Tailed, Non-Lipschitzian, and High-Dimensional Cases (abstract)

A Distribution Optimization Framework for Confidence Bounds of Risk Measures (abstract)

Self-Structured Importance Sampling for Chance-Constrained Optimization (abstract)

Assessing Feasibility With Respect to Stochastic Constraints (abstract)

Policy learning without overlap: Pessimism and generalized Bernstein's inequality (abstract)

First-order Methods for Robust Markov Decision Process (abstract)

Provably learning a multi-head attention layer (abstract)

Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization (abstract)

Decision-making with Side Information: A Causal Transport Robust Approach (abstract)

Integrated Conditional Estimation-Optimization (abstract)

Contextual Stochastic Bilevel Optimization (abstract)

SEQUENTIAL COUNTERFACTUAL DECISIONS (abstract)

Adaptive Pricing in Unit Commitment Under Load and Capacity Uncertainty (abstract)

An exact method for a class of robust nonlinear optimization problems (abstract)

Cone product reformulation for global optimization (abstract)

Random block coordinate descent methods for computing optimal transport and convergence analysis (abstract)

Generalizations of R0 and SSM properties for Extended Horizontal Linear Complementarity Problem (abstract)

Solving Large-Scale Non-convex Optimization Problems in Neural Network Verification (abstract)

Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents (abstract)

Content Creator Incentives in Recommender Systems (abstract)

Convex Optimization-based Algorithms for Strategic Classification (abstract)

Enhancing the Diversity in Language Model Assisted Fundraising (abstract)

Towards Constituting Mathematical Structures for Learning to Optimize (abstract)

Transformers Meet Image Denoising: Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals (abstract)

Advancing Frontiers in DEQs with Applications in OOD Generalization and Diffusion Models (abstract)

Learning to Predict Equilibria in Convex Games (abstract)

Neural Embedded Optimization over Sets (abstract)

A Bilevel Mixed-Integer Program for the Define-Combine Redistricting Procedure (abstract)

Solving an Advanced Available-to-Promise (AATP) Problem by Optimization and Meta-heuristics Techniques (abstract)

Inverse of the Gomory Corner Relaxation of Integer Programs (abstract)

On the Convergence of a Decomposition Algorithm for Nonlinear Two-Stage Optimization (abstract)

A Trust Region SQP Algorithm for Equality Constrained Optimization (abstract)

Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms (abstract)

Parsimonious Trajectories in Gradient Descent: Emerging Low-dimensionality in Over-parameterized Models (abstract)

Riemannian Stochastic Variance-Reduced Cubic Regularized Newton Method (abstract)

Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space (abstract)

Tangent Subspace Descent on Quotient Manifolds (abstract)

Proximal Oracles for Optimization and Sampling (abstract)

Maximizing and Satisficing in Multi-armed Bandits with Graph Information (abstract)

Branching Adaptive Surrogate Search Method for High-dimensional Optimization (abstract)

Package Queries for Massive-scale In-Database Decision Support (abstract)

Potential Games on Cubic Splines for Multi-Agent Motion Planning (abstract)

Recycling Valid Inequalities for Robust Optimization (abstract)

A Coordinated Parallelization Algorithm for Compromise Stochastic Programming (abstract)

Branching in the Dual Decomposition Method for Stochastic Integer Programs (abstract)

A Unifying Theory for the Reliability of Stochastic Programming Solutions using Compromise Decisions (abstract)

Accelerated Gradient Descent via Long Steps (abstract)

Beyond Discretization: Learning the Optimal Solution Path (abstract)

Advancing SGD: Exploring the Interplay of Stochastic Polyak Step-size and Momentum (abstract)

Acceleration of Level Adjustment for the Polyak Stepsize: Applications to Convex and Non-Convex Problems (abstract)

On graph sequences with finite-time consensus (abstract)

On the use of the finite-time consensus property in decentralized optimization (abstract)

Dual distributed optimization algorithms for potentially disconnected time-varying networks (abstract)

Understanding the Influence of Directed Networks on Decentralized Optimization: Effective Metrics, Lower Bound, and Optimal Algorithm (abstract)

Dimension-Free Zeroth-Order Algorithms for Stochastic Programming Under Dimension-Independent Budget Conditions (abstract)

Efficient and Scalable Reinforcement Learning via Hypermodel (abstract)

On First-Order Meta-Reinforcement Learning with Moreau Envelopes (abstract)

Bayesian optimization of risk based on Student-t process and extreme value statistics (abstract)

Relaxation \& Approximation Algorithm for Solving Sparse PCA Under Robust Uncertainty Set (abstract)

Robust Personalized Design via Bayesian Optimization under Covariate Uncertainty (abstract)

Forecasting Market-Suitable Vegetables by Using a Decision Tree Algorithm (abstract)

A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem (abstract)

Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions (abstract)

SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning (abstract)

On Penalty Methods for Bilevel Optimization (abstract)

Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment (abstract)

Wasserstein Robust Classification with Fairness Constraints (abstract)

Learning Fair Policies for Multi-stage Selection Problems from Observational Data (abstract)

On a Fair and Risk-averse Urban Air Mobility Resource Allocation Problem Under Demand and Capacity Uncertainties (abstract)

A Cycle Cancelling Heuristic for The Traveling Salesman Problem (abstract)

Who Plays First? (abstract)

Flexible Resource Job Scheduling - A Mixed Integer Programming Approach (abstract)

Handling polyhedral symmetries with a dedicated Branch&Cut: application to a knapsack variant (abstract)

Stochastic Lagrangian-based method for nonconvex optimization with nonlinear constraints (abstract)

A NEAR-OPTIMAL METHOD FOR CONSTRAINED COMPOSITE NON-CONVEX NON-SMOOTH PROBLEMS (abstract)

Solving nonmonotone inclusions and Application to nonconvex QP with equality constraints (abstract)

A Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition} (abstract)

Certification of sums of squares via low-rank optimization (abstract)

Revisiting Spectral Bundle Methods: Primal-dual (Sub)linear Convergence Rates (abstract)

Convex Relaxation for Fokker-Planck (abstract)

A Quantile Neural Network Framework for Two-stage Stochastic Optimization (abstract)

A Differentiable Decision Tree Induction Algorithm with Near-optimality (abstract)

Data-driven Decision-making with the Optimization & Machine Learning Toolkit (OMLT) (abstract)

Decomposition and adaptive sampling for data-driven inverse linear optimization (abstract)

Robust Data-driven Prescriptiveness Optimization (abstract)

Properties of Two-Stage Stochastic Multiobjective Linear Programs (abstract)

Optimizing infrastructure system monitoring under stochastic decision-dependent system failures (abstract)

A distributed algorithm for multi-scale multi-stage stochastic programs with applications to electricity capacity expansion (abstract)

On Polynomial-Time Solvability of Combinatorial Markov Random Fields (abstract)

Constrained Optimization of Low-rank Functions with Indicator Variables (abstract)

Higher order graphical models and binary polynomial optimization (abstract)

Algorithms for DC Programming via Polyhedral Approximations of Convex Functions (abstract)

Generalization Performances in Nonconvex Minimax Optimization: A Comprehensive Study (abstract)

Improving Autoencoder Image Interpolation via Dynamic Optimal Transport (abstract)

ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization (abstract)

Dimension-Insensitive Stochastic First-Order Methods for Nonconvex Optimization (abstract)

Scalable Projection-Free Optimization Methods via MultiRadial Duality Theory (abstract)

Binary Integer Program Approximation and the Induced Structural Duality (abstract)

Rectified Relaxation: A new learning approach for linear optimization with linear and complementary constraints (abstract)