2025 ALLERTON: 61ST ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING

A
Adler, Aviv	Synchronizing Probabilities in Model-Driven Compression
Agrawal, Rishabh	BayesFlow++: A Unified Framework for Amortized Bayesian Inference in Complex Systems
Ajeigbe, Oluwafemi	On the Sign Structure of the Ridge Estimator for Nonnegative Linear Mappings
Akhriev, Albert	A Cutting-plane Method for Semidefinite Programming with Potential Applications on Noisy Quantum Devices
Akhtiamov, Danil	A Precise Performance Analysis of the Randomized Singular Value Decomposition
Akyol, Emrah	On Myopia in Rationally Inattentive Dynamic Information Acquisition
Al-Qahtani, Shaikha	Soft Training: Method for Neural Network Learning
Al-Subaie, Roda	Soft Training: Method for Neural Network Learning
Alahmed, Ahmed	Watts and Drops: Co-Scheduling Power and Water in Desalination Plants
Alajaji, Fady	Exact Channel Simulation under Exponential Cost
Alawami, Ali	Watts and Drops: Co-Scheduling Power and Water in Desalination Plants
Amin, Saurabh	Watts and Drops: Co-Scheduling Power and Water in Desalination Plants
Anunrojwong, Jerry	Battery Operations in Electricity Markets: Strategic Behavior and Distortions
Arafa, Ahmed	Version Age of Information with Contact Mobility in Gossip Networks
Arcaklioglu, Ahmet E.	Persuasion under Dynamic Trust: Parametric Sender Behavior
Arda, Enes	Rate-Distortion-Perception Trade-off in Summarization
Arefanjazi, Hadis	On Myopia in Rationally Inattentive Dynamic Information Acquisition
Arlotto, Alessandro	Sequential policies and the distribution of their total rewards in dynamic and stochastic knapsack problems
Ashlagi, Itai	From signaling to interviews in random matching markets
Atia, George	Pessimism for Zero-Shot Transfer in RL
Avella Medina, Marco	A FREQUENTIST THEORY FOR M-POSTERIORS: ASYMPTOTIC AND ROBUSTNESS PROPERTIES
Azizan, Navid	HardNet: Hard-Constrained Neural Networks
B
Balasundaram, Haricharan	Estimating Error in Natural Distribution Estimation
Balseiro, Santiago	Battery Operations in Electricity Markets: Strategic Behavior and Distortions
Banerjee, Siddhartha	Allocating Shared Resources via Dynamic Max-Min Fairness Online Fair Allocation of Perishable Resources
Banerjee, Taposh	Dual-Sensor Quickest Change Detection with Sampling Control
Bangachev, Kiril	Global Minimizers of Sigmoid Contrastive Loss
Bansak, Kirk	Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
Belardi, Christian	On Speeding Up Language Model Evaluation
Belbasi, Amir Ali	Regionally Robust Autoencoder-Based Channel Codes
Ben Ami, Dan	Bandit-Based Sequential Client Scheduling in Federated Learning
Ben Ari, Aviv	DPIR: Deep Predictive Interference-Aware Routing for Wireless Networks
Besbes, Omar	Battery Operations in Electricity Markets: Strategic Behavior and Distortions
Bharadwaj, Karthik	Reduced Complexity Encoding of Non-binary Quasi Cyclic Low-Density Parity-Check Codes
Bizyaeva, Anastasia	On the role of time scale in reservoir computing
Borkar, Vivek	A theoretical basis for model collapse in recursive training Asymptotic convexity of wide and shallow neural networks
Botterud, Audun	Watts and Drops: Co-Scheduling Power and Water in Desalination Plants
Boutros, Joseph	Soft Training: Method for Neural Network Learning
Boutros, Milan	Soft Training: Method for Neural Network Learning
Brahma, Swastik	Towards a Nudge-Theoretic Cyber Deception Framework
Branzei, Simina	The Tarski Search Problem: Algorithms, Complexity, and Open Questions
Bresler, Guy	Global Minimizers of Sigmoid Contrastive Loss
Brown, David	Unit Commitment without Commitment: The Network Setting
Brunton, Steven L.	On the role of time scale in reservoir computing
Bu, Yuheng	Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
C
Caire, Giuseppe	On Secrecy Capacity of Binary Beampointing Channels with Block Memory and Feedback
Caramanis, Constantine	Editing and inversion of images with flow models
Cardone, Martina	Focal Loss: Statistical and Information-Theoretic Perspectives
Castro Fernandez, Raul	Toward a Theory of Data Ecology: Understanding and Steering Data Ecosystems
Chen, Chen	DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP
Chen, Mingzhe	On Secrecy Capacity of Binary Beampointing Channels with Block Memory and Feedback
Chen, Siyi	FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
Chen, Xudong	The H-property for Asymmetric Graphons: The zero-one law
Chen, Yudong	A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression
Chen, Yujia	Editing and inversion of images with flow models
Chertkov, Michael	A Stochastic-Control Lense unifying Transformers, Diffusions & Reinforcement Learning
Chi, Yuejie	Transformers Provably Learn Symbolic Multi-step Reasoning via Chain of Thought
Chiu, Chih-Yuan	Approximately Optimal Toll Design for Efficiency and Equity in Arc-Based Traffic Assignment Models
Choi, Jinho	Zero Perception Error Rate-Distortion for Semantic Communication
Choi, Sung Woo	StarV: A Qualitative and Quantitative Verification Framework for Learning-enabled Autonomy
Choo, Davin	Online Bipartite Matching with Advice
Chou, Remi A.	An Achievable Rate Region for Hypothesis Testing and User Identification with Multiple Sources Regionally Robust Autoencoder-Based Channel Codes Single-Server SPIR over Binary Erasure Channels: Benefits of Noisy Side Information Improved Achievable Rate for Single Server SPIR over BEC
Chu, Wen-Sheng	Editing and inversion of images with flow models
Cleaveland, Matthew	Conservative Perception Models for Probabilistic Model Checking
Cohen, Alejandro	Variable Min-Cut Max-Flow Bounds and Algorithms in Finite Regime
Cohen, Kobi	Bandit-Based Sequential Client Scheduling in Federated Learning DPIR: Deep Predictive Interference-Aware Routing for Wireless Networks
Coogan, Samuel	Reachable and Invariant Sets of Neural Controlled Systems via a Monotone Embedding
Cullina, Daniel	Diffusion bridges and adversarial examples
Cummings, Rachel	Optimal Data Acquisition with Privacy-Aware Agents
D
Delafrooz Noroozi, Oveys	Scaling Wideband Massive MIMO Radar via Beamspace Dimension Reduction
Devroye, Natasha	On Estimation of Angles of Arrival in Monostatic ISAC Without Instantaneous Transmit CSI at the Transmiter Interpreting learned error-correcting codes
Dey, Arnab	Risk Sharing Among Microgrids: Connectivity Requirements and Optimal Control
Dhole, Sameer	The Pulse-Shaping Trojan: Refinements and New Results
Di Bari, Simone	On Estimation of Angles of Arrival in Monostatic ISAC Without Instantaneous Transmit CSI at the Transmiter
Dissanayake, Pasan	Private Counterfactual Retrieval
Djermani, Bachir	Probabilistic DiffusionNet: A geometry informed probabilistic neural operator
Du, Hang	A Proof of The Changepoint Detection Threshold Conjecture in Preferential Attachment Models
Dubail, Bastien	Emergence of Low-rank Structures in RL
Duggirala, Parasara Sridhar	Co-Optimization of Perception and Control for Autonomous Systems
Duraisamy, Karthik	Foundation Models for Spatio-temporal Physics
Dutta, Sanghamitra	Private Counterfactual Retrieval
Dytso, Alex	Focal Loss: Statistical and Information-Theoretic Perspectives
E
Effros, Michelle	Distributed Hypothesis Testing and the Output Statistics of Random Binning
Eksin, Ceyhun	Persuasion under Dynamic Trust: Parametric Sender Behavior
Elamvazhuthi, Karthik	Measure Transport of Control Systems using Flow Matching
Elyasi, Masoud	Multi-Cell MMSE Processing and Pilot Assignment in Massive MIMO under Correlated Fading
Elzayn, Hadi	Optimal Data Acquisition with Privacy-Aware Agents
F
Fagin, Ron	Towards a Unification of Logic and Information Theory
Fainekos, Georgios	StarV: A Qualitative and Quantitative Verification Framework for Learning-enabled Autonomy
Fan, Chuchu	Failure Prediction from Limited Hardware Demonstrations
Fanti, Giulia	The Role of Private Synthetic Data in Collaborative Learning
Farahnak-Ghazani, Maryam	Z-Channel Modeling of Hardware Trojans The Pulse-Shaping Trojan: Refinements and New Results
Farahvash, Faraz	Communication Systems with Mismatched Encoder and Decoders
Farina, Gabriele	Follow-the-Perturbed-Leader with Between-Action Dependence
Feizbakhsh, Alireza	Efficient and Privacy-Preserving Binary Dot Product via Multi-Party Computation
Feng, Jie	Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Fessler, Jeffrey	FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
Fields, Greg	Posterior-based Actor Critic Framework for Active Hypothesis Testing
Flynn, Thomas	Problem-dependent convergence bounds for randomized linear gradient compression
G
Ganesh, Vijay	Bridging Learning and Reasoning: From Solvers to LLMs
Garani, Shayan Srinivasa	Reduced Complexity Encoding of Non-binary Quasi Cyclic Low-Density Parity-Check Codes
Garg, Kunal	Failure Prediction from Limited Hardware Demonstrations
Gaudio, Julia	The Sum of Leaf Weights in the Minimum Spanning Tree of the Complete Graph
Ghane, Reza	A Precise Performance Analysis of the Randomized Singular Value Decomposition
Gharesifard, Bahman	A Reinforcement Learning View on the Sample Complexity of Linear Quadratic Regulator
Ghosh, Bineet	Co-Optimization of Perception and Control for Autonomous Systems
Ghosh, Sanmitra	Probabilistic DiffusionNet: A geometry informed probabilistic neural operator
Gitik, Rivka	Variable Min-Cut Max-Flow Bounds and Algorithms in Finite Regime
Gkatzelis, Vasilis	Optimal Data Acquisition with Privacy-Aware Agents
Glizer, Valery Y.	Artificial Parameter Based Approximate Solutions of Non-Symmetric Matrix Riccati Differential Equation
Gocmen, Caner	Scheduling with Uncertain Holding Costs and its Application to Content Moderation
Gomes, Carla	On Speeding Up Language Model Evaluation
Gonen, Mira	On Subset Retrieval and Group Testing Problems with Differential Privacy Constraints
Gong, Shuyang	A Proof of The Changepoint Detection Threshold Conjecture in Preferential Attachment Models
Gray, Alexander	Towards a Unification of Logic and Information Theory
Greidi, Ran	DPIR: Deep Predictive Interference-Aware Routing for Wireless Networks
Grosof, Izzy	Join-the-Shortest-Queue with Markov-Modulated Parameters: Poisson Equation and Transform Techniques
Grosse, Leonhard	Bounds on the Privacy Amplification of Arbitrary Channels via the Contraction of $f_\alpha$-Divergence
Gu, Quanquan	Tensor Product Attention Is All You Need
Gupta, Abhishek	An Operator Theoretic Viewpoint of Reinforcement Learning and a class of PPO Algorithms
H
Hadjicostis, Christoforos	System Opacity Formulations and Applications to Privacy Preservation in Smart Grids
Han, Jiequn	Provable Posterior Sampling with Score-Based Diffusion via Tilted Transport
Han, Jimin	Group Formation through Game Theory and Agent-Based Modeling: Spatial Cohesion, Heterogeneity, and Resource Pooling
Han, Jiyoon	Scaling Wideband Massive MIMO Radar via Beamspace Dimension Reduction
Harman, Daniel	Side Channel Communications With Ghost Modulation Over the Asymmetric Binary Crossover Erasure Channel
Harrison, Willie	Side Channel Communications With Ghost Modulation Over the Asymmetric Binary Crossover Erasure Channel
Hasan, Irtiza	Version Age of Information with Contact Mobility in Gossip Networks
Hashemi, Morteza	Error-Sensitive Dynamic Calibration for Online Optimization with Switching Costs
Hassanzadeh, Pedram	Hierarchical Implicit Neural Operators
Hassibi, Babak	A Precise Performance Analysis of the Randomized Singular Value Decomposition
He, Haiyun	Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
He, Sihong	Pessimism for Zero-Shot Transfer in RL
He, Xiaoyu	Joint Problems in Learning Multiple Dynamical Systems
Heidarzadeh, Anoosheh	Leaky Multi-Message Private Information Retrieval with Differential Privacy Guarantees
Hill, Spencer	Exact Channel Simulation under Exponential Cost
Hoang, Tiep M.	Near-Field Quiet Zone Using Passive XL-RIS for 6G-IoT Coexistence in the Upper Mid-Band
Hong, Yige	Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
Hoxha, Bardh	StarV: A Qualitative and Quantitative Verification Framework for Learning-enabled Autonomy
Hssaine, Chamsi	Online Fair Allocation of Perishable Resources Target-Following Online Resource Allocation Using Proxy Assignments
Hu, Cordelia	Synchronizing Probabilities in Model-Driven Compression
Hu, Jun	DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP
Huang, Yu	Transformers Provably Learn Symbolic Multi-step Reasoning via Chain of Thought
Huo, Lucy	A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression
Hurtado-Lange, Daniela	Join-the-Shortest-Queue with Markov-Modulated Parameters: Poisson Equation and Transform Techniques
Hussain, Aamal	Probabilistic DiffusionNet: A geometry informed probabilistic neural operator
I
Ilin, Yigal	Relaying Quantum Information
J
Jafarian Dehkordi, Fatemeh	Efficient and Privacy-Preserving Binary Dot Product via Multi-Party Computation
Jakhar, Karan	Hierarchical Implicit Neural Operators
Jantre, Sanket	Learning and predicting uncertain dynamical systems from data
Javidi, Tara	Posterior-based Actor Critic Framework for Active Hypothesis Testing
Jeff, Darin	Optimal Service Mode Assignment in a Simple Computation Offloading System
Jha, Piyush	Bridging Learning and Reasoning: From Solvers to LLMs
Jha, Prithwish	Bridging Learning and Reasoning: From Solvers to LLMs
Jia, Yixuan	FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
Jia, Ziying	Pessimism for Zero-Shot Transfer in RL
Jiang, Ruoxi	Hierarchical Implicit Neural Operators
Jiang, Xiao	Hierarchical Implicit Neural Operators
Jiao, Jiantao	Challenges of Reliable Training and Evaluation of Large Language Models
Jin, Billy	Online Bipartite Matching with Advice
Johari, Ramesh	Experimentation in the Presence of Strategic Buyers: Unbiased Estimation Under Intertemporal Substitution
Johnson, Christine	Ordinal-Poisson Causal Discovery
Johnson, Taylor T	Is Neural Network Verification Useful and What Is Next?
Johnstone, Patrick	Problem-dependent convergence bounds for randomized linear gradient compression
Joswig-Jones, Trager	Optimal Setpoints of Current Constrained Converters-Based Resources
Jue-Rajasingh, Diana	Group Formation through Game Theory and Agent-Based Modeling: Spatial Cohesion, Heterogeneity, and Resource Pooling
K
K. V., Krishna Chaythanya	Sequential Procedures for Early Detection of Machine Faults
Kadota, Igor	Optimizing Age of Information without Knowing the Age of Information
Kamhoua, Charles	Towards a Nudge-Theoretic Cyber Deception Framework
Karaduman, Omer	Optimal Mechanisms for Demand Response: An Indifference Set Approach
Karakurt, Altug	On Explicit Families of Outer Bounds for Broadcast Networks
Karzand, Mina	Compression for Incentivization
Kedar, Gil	DPIR: Deep Predictive Interference-Aware Routing for Wireless Networks
Keshtkarjahromi, Yasaman	Efficient and Privacy-Preserving Binary Dot Product via Multi-Party Computation
Khatana, Vivek	Risk Sharing Among Microgrids: Connectivity Requirements and Optimal Control
Kherani, Nomaan	If the Virus Respected Queues
Kim, Kibaek	FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
Kim, Seong-Lyun	Zero Perception Error Rate-Distortion for Semantic Communication
Kindratenko, Volodymyr	FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
Ko, Seung-Woo	Zero Perception Error Rate-Distortion for Semantic Communication
Koley, Ankita	Distributed Caching of Transient Contents in a Tandem of Caches
Korlakai Vinayak, Ramya	Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
Koyejo, Sanmi	Sketching for Distributed Deep Learning
Krishnamurthy, Vikram	A Malliavin Calculus based Weak-Derivative Approach for Training Neural Stochastic Differential Equations
Kumar, Abhinav	Towards a Nudge-Theoretic Cyber Deception Framework
Kumar, Anurag	Sequential Procedures for Early Detection of Machine Faults
Kumar, Himanshu	BayesFlow++: A Unified Framework for Amortized Bayesian Inference in Complex Systems
Kumar, P. R.	Reward Biasing in RL: Tempered Optimism for Exploration Improves Performance
Kumar, Pavan	Reduced Complexity Encoding of Non-binary Quasi Cyclic Low-Density Parity-Check Codes
Kuo, Yun-Tung	Sequential policies and the distribution of their total rewards in dynamic and stochastic knapsack problems
Kutz, J. Nathan	On the role of time scale in reservoir computing
Kvalheim, Matthew	When do practical Koopman embeddings exist?
L
Lai, Lifeng	Robust Conditional Value-at-Risk Based Risk-Sensitive Reinforcement Learning
Langberg, Michael	On Subset Retrieval and Group Testing Problems with Differential Privacy Constraints
Lastras, Luis	Towards a Unification of Logic and Information Theory
Leahy, James-Michael	Probabilistic DiffusionNet: A geometry informed probabilistic neural operator
Lee, Insup	Conservative Perception Models for Probabilistic Model Checking
Lee, Soonbong	Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
Leith, Douglas	New Convergence Rates for Function Approximation Using Kernel Methods
Lenchner, Jonathan	Towards a Unification of Logic and Information Theory
Leong, Oscar	Distillation learns clean generative models from corrupted data
Lesieutre, Bernard	Model Expansion to Realize Preferred Topologies
Li, Aimin	Optimal Sampling and Scheduling for Remote Fusion Estimation of Correlated Wiener Processes
Li, Qing	Linking Diffusion Models & I-MMSE
Li, Shuangyang	On Secrecy Capacity of Binary Beampointing Channels with Block Memory and Feedback
Li, Siyao	On Secrecy Capacity of Binary Beampointing Channels with Block Memory and Feedback
Li, Yuntao	StarV: A Qualitative and Quantitative Verification Framework for Learning-enabled Autonomy
Li, Zilinghan	FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
Liang, Yingbin	Transformers Provably Learn Symbolic Multi-step Reasoning via Chain of Thought
Linder, Tamás	Exact Channel Simulation under Exponential Cost
Liu, Tingkai	FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
Liu, Xiangyu	Principled Learning-to-Communicate with Quasi-Classical Information Structures
Liu, Yepeng	Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
Liu, Yifeng	Tensor Product Attention Is All You Need
Lu, Pengyuan	Conservative Perception Models for Probabilistic Model Checking
Lu, Peter Y.	Hierarchical Implicit Neural Operators
Lubenia, Patrick Vincent	Dual-Sensor Quickest Change Detection with Sampling Control
Lundrigan, Philip	Side Channel Communications With Ghost Modulation Over the Asymmetric Binary Crossover Erasure Channel
Ly, Hoang	Maximal Achievable Service Rates of Codes and Connections to Combinatorial Designs
Lykouris, Thodoris	Scheduling with Uncertain Holding Costs and its Application to Content Moderation
Lyu, Lei	Hybrid Atomic Norm Sparse/Diffuse Channel Estimation
M
Madduri, Ravi	FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
Madhow, Upamanyu	Scaling Wideband Massive MIMO Radar via Beamspace Dimension Reduction
Maguluri, Siva Theja	Mixing Times for Reversible Countable State Markov Chains: A case study of the Erlang-C queue
Mahajan, Aditya	An Operator Theoretic Viewpoint of Reinforcement Learning and a class of PPO Algorithms
Maimon, Tzalik	DPIR: Deep Predictive Interference-Aware Routing for Wireless Networks
Makris, Yiorgos	The Pulse-Shaping Trojan: Refinements and New Results
Mani, Ankur	Risk Sharing Among Microgrids: Connectivity Requirements and Optimal Control
Manshadi, Vahideh	Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
Mao, Yongyi	Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
Marecek, Jakub	Joint Problems in Learning Multiple Dynamical Systems A Cutting-plane Method for Semidefinite Programming with Potential Applications on Noisy Quantum Devices
Marie, Michael	Hierarchical Implicit Neural Operators
Marusic, Juraj	A FREQUENTIST THEORY FOR M-POSTERIORS: ASYMPTOTIC AND ROBUSTNESS PROPERTIES
Mashhadi, Shima	Near-Field Quiet Zone Using Passive XL-RIS for 6G-IoT Coexistence in the Upper Mid-Band
Mathieu, Johanna	Inexactness of Second-order Cone Relaxations for Calculating Operating Envelopes
Mazumdar, Eric	Scalable and Convergent Algorithms for Strategically Risk-Averse Agents in Markov Games
Meel, Shreya	Private Counterfactual Retrieval
Mehrabi, Mohammad	Optimal Mechanisms for Demand Response: An Indifference Set Approach
Mei, Yajun	Optimal Change Detection in Multi-Armed Bandit
Mete, Akshay	Reward Biasing in RL: Tempered Optimism for Exploration Improves Performance
Meyn, Sean	Reinforcement Learning Design for Quickest Change Detection - Extended Abstract
Michaelides, Michalis	Probabilistic DiffusionNet: A geometry informed probabilistic neural operator
Min, Youngjae	HardNet: Hard-Constrained Neural Networks
Mishra, Deepak	Reduced Complexity Encoding of Non-binary Quasi Cyclic Low-Density Parity-Check Codes
Mitra, Urbashi	Ordinal-Poisson Causal Discovery Hybrid Atomic Norm Sparse/Diffuse Channel Estimation
Modiano, Eytan	Optimal Service Mode Assignment in a Simple Computation Offloading System
Molzahn, Daniel	Inexactness of Second-order Cone Relaxations for Calculating Operating Envelopes
Moon, Jun	Linear-Quadratic Stackelberg Differential Games for Jump-Diffusion Systems with Complete and Partial Information
Moring, Hannah	Inexactness of Second-order Cone Relaxations for Calculating Operating Envelopes
Murad, Md Mahmuddun Nabi	Cluster-Aware Causal Mixer for Sequential Change Detection in Multivariate Time Series
N
Naghizadeh, Parinaz	Coordination Games on Multiplex Networks: Consensus and Convergence of Opinion Dynamics
Nam, Hyelin	Zero Perception Error Rate-Distortion for Semantic Communication
Nandy, Ananya	Stochastic model and decomposition schemes for relaxation oscillator based SAT solver
Nasa, Shreya	An Upper Bound for Interactive ECCs with Separate Budgets
Negrea, Jeffrey	Follow-the-Perturbed-Leader with Between-Action Dependence
Neshaei Moghaddam, Amirreza	A Reinforcement Learning View on the Sample Complexity of Linear Quadratic Regulator
Nguyen, Hoang Huy	Mixing Times for Reversible Countable State Markov Chains: A case study of the Erlang-C queue
Nguyen, Thanhvu	Generating and Checking DNN Verification Proofs
Ni, Xinyi	Robust Conditional Value-at-Risk Based Risk-Sensitive Reinforcement Learning
Niazadeh, Rad	Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
Niu, Mengjia	Joint Problems in Learning Multiple Dynamical Systems
Noman, Iliyas	Global Minimizers of Sigmoid Contrastive Loss
Nomeir, Mohamed	Private Counterfactual Retrieval
Nosratinia, Aria	Z-Channel Modeling of Hardware Trojans The Pulse-Shaping Trojan: Refinements and New Results
O
Oechtering, Tobias J.	Bounds on the Privacy Amplification of Arbitrary Channels via the Contraction of $f_\alpha$-Divergence
Okamoto, Hideki	StarV: A Qualitative and Quantitative Verification Framework for Learning-enabled Autonomy
Oloko, Toye	Error-Sensitive Dynamic Calibration for Online Optimization with Switching Costs
Olshevsky, Alex	A Reinforcement Learning View on the Sample Complexity of Linear Quadratic Regulator
P
Paarporn, Keith	Optimizing Preventive and Reactive Defense Resource Allocation with Uncertain Sensor Signals
Paganini, Fernando	Monotone dynamics in network control
Palacios, Ashton	Side Channel Communications With Ghost Modulation Over the Asymmetric Binary Crossover Erasure Channel
Pananjady, Ashwin	Learning and inference from temporally dependent data
Pandit, Parthe	Asymptotic convexity of wide and shallow neural networks
Parashar, Anjali	Failure Prediction from Limited Hardware Demonstrations
Park, Jihong	Zero Perception Error Rate-Distortion for Semantic Communication
Pasareanu, Corina	Compositional Verification of Autonomous Systems
Paulson, Elisabeth	Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
Peng, Zhigang	Sequential Change Point Detection via Denoising Score Matching
Pereg, Uzi	Relaying Quantum Information
Phillips, Reed	The Tarski Search Problem: Algorithms, Complexity, and Open Questions
Pimentel, Daniel	Towards an optimal solution to NMF
Polyanskiy, Yury	Global Minimizers of Sigmoid Contrastive Loss
Ponkshe, Kaustubh	A Modular Federated Suite for Low-Rank, Expressive, and Efficient LLM Fine-Tuning
Ponniah, Jonathan	Information-Theoretic Outer-bounds from Sphere-Packing, Compactness, and Zero-One Laws Source-Channel Coding in Multiple-Access Channels with Correlated Sources
Poor, H. Vincent	On Prophet Inequalities for Markov Rewards
Pountourakis, Emmanouil	Optimal Data Acquisition with Privacy-Aware Agents
Prabhakar, Pavithra	Abstractions for Scalable Analysis of AI-enabled Cyber-Physical Systems (CPS)
Prongpaophan, Phawin	The Sum of Leaf Weights in the Minimum Spanning Tree of the Complete Graph
Proutiere, Alexandre	Emergence of Low-rank Structures in RL
Q
Qian, Xiaoning	Confronting Uncertainty in AI for Science
Qian, Xiaoning	Learning and predicting uncertain dynamical systems from data
Qin, Zhen	Tensor Product Attention Is All You Need
Qiu, Yang	Wasserstein Distortion: Unifying Fidelity and Realism
Qu, Qing	FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
R
Ramanathan, Arvind	Automation and generative AI accelerated design of bio-therapeutics
Ranade, Gireeja	Control of Dynamical Systems with Multiplicative Observation Noise with Unknown Distribution Parameters
Razavi Pour, Seyed Reza	Joint Constellation and Labeling Design for Gaussian Interference Channels via Autoencoders
Recker, Nicholas	The Tarski Search Problem: Algorithms, Complexity, and Open Questions
Rout, Litu	Editing and inversion of images with flow models
Roy, Sandip	On the Sign Structure of the Ridge Estimator for Nonnegative Linear Mappings
Ruchkin, Ivan	Conservative Perception Models for Probabilistic Model Checking
Ruiz, Nataniel	Editing and inversion of images with flow models
Rush, Cynthia	A FREQUENTIST THEORY FOR M-POSTERIORS: ASYMPTOTIC AND ROBUSTNESS PROPERTIES
Rysavy, Petr	Joint Problems in Learning Multiple Dynamical Systems
S
Saberi, Amin	From signaling to interviews in random matching markets
Saeidian, Sara	Bounds on the Privacy Amplification of Arbitrary Channels via the Contraction of $f_\alpha$-Divergence
Salapaka, Murti	Risk Sharing Among Microgrids: Connectivity Requirements and Optimal Control
Sams, Ataher	On Estimation of Angles of Arrival in Monostatic ISAC Without Instantaneous Transmit CSI at the Transmiter
Sanghavi, Sujay	Learning Without Forgetting
Scheinberg, Katya	Reliable and Adaptive Stochastic Optimization in the Face of Messy Data
Schleppy, Michael	Winning Rates of (n, k) Quantum Coset Monogamy Games
Seferoglu, Hulya	Efficient and Privacy-Preserving Binary Dot Product via Multi-Party Computation
Shah, Jaimin	Focal Loss: Statistical and Information-Theoretic Perspectives
Shakkottai, Sanjay	Editing and inversion of images with flow models
Shaska, Joni	Ordinal-Poisson Causal Discovery
Sheikholeslami, Azadeh	Minimum-Latency Reliable Routing in Interference-Powered Networks
Shekofteh, Amirhossein	Single-Server SPIR over Binary Erasure Channels: Benefits of Noisy Side Information Improved Achievable Rate for Single Server SPIR over BEC
Shen, Liyue	Enhance Efficiency of Diffusion Models for Solving Inverse Problems via Posterior Sampling
Shi, Yuanyuan	Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Shima, Tal	Differential Game Based Guidance with Delayed Engagement Decision
Shin, Yongho	Online Bipartite Matching with Advice
Shiu, Ruey-An	Coordination Games on Multiplex Networks: Consensus and Convergence of Opinion Dynamics
Shojaeighadikolaei, Faezeh	Optimizing Preventive and Reactive Defense Resource Allocation with Uncertain Sensor Signals
Sibai, Hussein	Learning Neural Control Barrier Functions from Demonstrations
Sinclair, Sean R.	Online Fair Allocation of Perishable Resources
Singh, Chandramani	Distributed Caching of Transient Contents in a Tandem of Caches
Singh, Manish	Model Expansion to Realize Preferred Topologies
Singh, Rahul	Reward Biasing in RL: Tempered Optimism for Exploration Improves Performance
Singhal, Raghav	A Modular Federated Suite for Low-Rank, Expressive, and Efficient LLM Fine-Tuning
Sinha, Aditya	FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
Sinha, Deeksha	Scheduling with Uncertain Holding Costs and its Application to Content Moderation
Skoglund, Mikael	Bounds on the Privacy Amplification of Arbitrary Channels via the Contraction of $f_\alpha$-Divergence
Smida, Besma	On Estimation of Angles of Arrival in Monostatic ISAC Without Instantaneous Transmit CSI at the Transmiter
Smith, James	Unit Commitment without Commitment: The Network Setting
Snow, Luke	A Malliavin Calculus based Weak-Derivative Approach for Training Neural Stochastic Differential Equations
Sokolsky, Oleg	Conservative Perception Models for Probabilistic Model Checking
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