2026 ALLERTON: 62ND ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING

A
Abbas, Waseem	Quantifying Classification Performance using Combinatorial Geometry and Local Data Analysis
Afghah, Fatemeh	AI-Native Open RAN: A Roadmap from xApps and rApps to Autonomous Network Agents
Akbari Nodehi, Hanzaleh	Adaptive Decentralized Learning in Adversary-Dominated Settings
Akkoc, Semih	The Rate-Distortion-Deception Tradeoff
Ali, Abdulmoneam	Eigenspace-Based Clustering for Personalized System Identification
Alizadeh, Mahnoosh	Regret-Optimal Safe Adaptive Control under Chance Constraints: Application to Thermostatically Controlled Loads
Anubi, Olugbenga	Source-Reliability Weighted Observer Design for Open Client–Server Networks
Arafa, Ahmed	Eigenspace-Based Clustering for Personalized System Identification
Arora, Samanyu	Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
Arslan, Gurdal	Fictitious Play in Extensive-Form Games of Imperfect Information
Ataei, Masoud	Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks
Austhof, Bethany	Cross-Validation Error Dynamics in Smaller Datasets
Aydin, Sarper	Convergence of Fictitious Play in a Class of Product Markov Games
Azizan, Navid	Hard-Constrained Sampling in Diffusion and Flow-Matching Models for Safe Control and Beyond
B
Baek, Jackie	Optimal Exploration of New Products under Assortment Decisions
Bainomugisha, Engineer	Deep Reinforcement Learning for MSense: Learned Destroy–Repair Policies for Diversity-Aware and Heterogeneous Mobile Sensor Routing
Balim, Haldun	Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
Banerjee, Siddhartha	Water-filling is Universally Minimax Optimal
Bennouna, Amine	What Data Enables Optimal Decisions? A Study of Data Informativeness in Optimization Under Uncertainty
Bergel, Itsik	Improving Confidentiality in Wireless Networks with Non-Linear Relays and Deep-Learning
Bernstein, Andrey	Reconfiguration and Real-Time Control of Networked Microgrids Under Load Uncertainty
Berry, Randall	Career Concerns and Social Learning in Principal-Agent Environments
Bizyaeva, Anastasia	From Echo States to Dominant Manifolds: A Systems-Theoretic View of Reservoir Computing
Bu, Yuheng	In-Context Watermarks for Large Language Models
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Caramanis, Constantine	Test-Time Anchoring for Discrete Diffusion Posterior Sampling
Cardone, Martina	$\alpha$-Mutual Information for the Gaussian Noise Channel
Castiglione, Jason	Fictitious Play in Extensive-Form Games of Imperfect Information
Chadaga, Sathwik	Load Balancing with Partial Queue Information: Threshold Optimality and Indexability
Chen, Xiaohui	Another Look at Log-PCA for Probability Measures: A Dynamical Formulation and Statistical Convergence
Chen, Xudong	On Controllability of Diffeomorphisms
Chen, Yueqi	Analysis and Optimization of Age of Information in Large-Scale Random Access Networks
Chen, Zaiwei	Natural Policy Gradient as Doubly Smoothed Policy Iteration: A Unified Bellman-Operator Framework
Cheng, Jiale	Achieving Almost Exact Recovery in Almost Quadratic Time: Rank-Based Graph Matching via Local Tree Correlation Tests
Cheng, Shiyu	Verifiably Safe Decentralized Control via Event-Triggered Topology Switching
Chertkov, Michael	Path-Integral Diffusion: From Generative AI and Interacting Agents to Quantum Measurements
Chevalier, Samuel	Low-Rank and Lifted Semidefinite Programming for Global MINLP Power Grid Optimization
Chiri, Maria Teresa	Localmax Dynamics for Attention Models
Chrysos, Grigorios	Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
Cianfanelli, Leonardo	Kullback-Leibler Divergence Regularized Learning (KLD-RL) Dynamics in Population Games
Cimetière, Henri	Localmax Dynamics for Attention Models
Clark, Andrew	Verifiably Safe Decentralized Control via Event-Triggered Topology Switching
Como, Giacomo	Kullback-Leibler Divergence Regularized Learning (KLD-RL) Dynamics in Population Games
Coskun, Mustafa Cemil	Enhanced Feedback Mechanisms for Resource-Efficient Incremental Redundancy
Coulson, Jeremy	Trusting and Adapting Data-Driven Predictors for Control
D
Dachman-Soled, Dana	PIR-DAG: Information-Theoretic Private Evaluation of Boolean Functions
Dahleh, Munther	Modulated learning for private and distributed regression with just a single sample per client device
Devroye, Natasha	Interpreting End-to-End Learned CSI Feedback for Massive MIMO
Dhiman, Vikas	Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks
Dhole, Sameer Raju	A demonstration of information leakage via phase contamination
Dinev, Atanas	Optimal Exploration of New Products under Assortment Decisions
Dixit, Neil	Temporal Rank Statistics under Markov Dependence Low-Temperature Sensitivity and Perturbation Stability of Annealed Markov-Chain Ensembles
Djurdjevic, Ivana	Reed-Muller Codes for Joint Random and Stuck-At Error Correction
Donmez, Ahmed Said	Decentralized Optimal Equilibrium Learning in Stochastic Games via Single-bit Feedback
Du, Jinfeng	Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission
Dutta, Amit	Source-Reliability Weighted Observer Design for Open Client–Server Networks
Dytso, Alex	$\alpha$-Mutual Information for the Gaussian Noise Channel
E
Ekbatani, Farbod	Prophet Inequalities with Cancellation Costs
Eksin, Ceyhun	Convergence of Fictitious Play in a Class of Product Markov Games
Elamvazhuthi, Karthik	Feedback Based Sampling using L2 Gradient Flows
Elkelesh, Ahmed	Enhanced Feedback Mechanisms for Resource-Efficient Incremental Redundancy
Erkip, Elza	Impact of State Knowledge on Covert Communication in the Presence of Simultaneous Transmission
Esfahanizadeh, Homa	Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission Enhanced Feedback Mechanisms for Resource-Efficient Incremental Redundancy
Ezaz, Mohammad	Energy-Efficient RIS-Assisted User-Centric Cell-Free Massive MIMO: A Game-Theoretic Framework
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Fagnani, Fabio	Kullback-Leibler Divergence Regularized Learning (KLD-RL) Dynamics in Population Games
Fan, Siqi	Analysis and Optimization of Age of Information in Large-Scale Random Access Networks
Feder, Meir	Fisher Simplicity in KANs and MLPs
Ferguson, Bryce	The robustness of games as models in multi-agent control: studying stability and sensitivity to misspecification
Fisher, Michael	Determining and Improving Safety Margins of Parameterized Nonlinear Systems for Vulnerability Assessment and Preventive Action
Fobes, David M.	Reconfiguration and Real-Time Control of Networked Microgrids Under Load Uncertainty
Foster, Ian	From Sequence to Signature: Infinite-Order Signature Kernels for Biological Sequence Learning
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Gallmeier, Esther	Data-Efficient Learning for Asymptotically Smooth Integral Operators
Ganesh, Ayalvadi	Distributed 20 Questions for Classification
Gharesifard, Bahman	Localmax Dynamics for Attention Models
Ghosh, Madhusudan	Copositive characterization of convex hull pricing
Giannakis, Dimitrios	Affiliated operators for classical and quantum control
Giannakis, Georgios	Adversarially Robust Multiclass Classification via Error Correction Output Codes Rank-Adaptive Matrix-Free Atomic Quantum State Tomography
Gopalam, Swaroop	An ODE-based method for resource allocation in a multi-agent systems
Govindasamy, Siddhartan	Improving Confidentiality in Wireless Networks with Non-Linear Relays and Deep-Learning
Gracyk, Andrew	Observability conditions for neural state-space models with eigenvalues and their roots of unity
Gu, Jiatao	Are Normalizing Flows Good Candidates for Interactive World Models?
Gupta, Abhishek	Stochastic Geometry meets Optimization: Soft Deployment in Cellular Networks
Guyot, Cyril	Reed-Muller Codes for Joint Random and Stuck-At Error Correction
H
Halder, Abhishek	Nonlinearity and Interaction in Schrödinger Bridges
Han, Barron	Constructing Reed–Solomon Codes with Sparse Parity Checks
Han, Guangyue	Information-Theoretic Bounds for Sparse Covariance Estimation in the Vertical-Split Distributed Model
Harish, Abhinav	Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
Hassibi, Babak	Constructing Reed–Solomon Codes with Sparse Parity Checks Operator-Norm Robust LASSO: A Precise Analysis and an AMP-style Algorithm Improved Convex Relaxations for Simultaneously Sparse and Quantized Signal recovery
Heath, Robert	High Probability Bounds for Stochastic Optimization Algorithms
Hippe, Kyle	From Sequence to Signature: Infinite-Order Signature Kernels for Biological Sequence Learning
Hoefer, Gage	Affiliated operators for classical and quantum control
Horvath, Samuel	Modulated learning for private and distributed regression with just a single sample per client device
Hou, I-Hong	Analysis and Optimization of Age of Information in Large-Scale Random Access Networks
Hsu, Brian	From Sequence to Signature: Infinite-Order Signature Kernels for Biological Sequence Learning
Hutchinson, Spencer	Regret-Optimal Safe Adaptive Control under Chance Constraints: Application to Thermostatically Controlled Loads
J
Jafarian, Yasamin	Test-Time Anchoring for Discrete Diffusion Posterior Sampling
Jaggi, Sidharth	Distributed 20 Questions for Classification
Jalota, Devansh	Informal and Privatized Transit: Incentives, Efficiency and Coordination
Javidi, Tara	Local and Global Approaches to Kernelized Bandit Optimization
Jayaraman, Dinesh	The Information Needs of Robot Learners
Jeng, Tzuyu	Counterclockwise Dissipativity and Lyapunov Stability in Learning for Large Populations
Jiang, Nanfei	Regret-Optimal Safe Adaptive Control under Chance Constraints: Application to Thermostatically Controlled Loads
Jiao, Jiantao	PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost
K
Kadota, Igor	Analysis and Optimization of Age of Information in Large-Scale Random Access Networks
Kanumuri, Nithin Varma	Improved Convex Relaxations for Simultaneously Sparse and Quantized Signal recovery
Kekatos, Vassilis	A Single ML Model for Predicting AC Power Flow Solutions under Line Contingencies
Kemelmacher-Shlizerman, Ira	Test-Time Anchoring for Discrete Diffusion Posterior Sampling
Khojasteh, Mohammad Javad	Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks
Khoo, Yuehaw	Fast operator learning for mapping correlations
Kiremitci, Seref Taha	Decentralized Optimal Equilibrium Learning in Stochastic Games via Single-bit Feedback
Krishnamurthy, Vikram	Minimizing Convex Risk in Data Fusion via Symmetrization and Martingale Couplings
Kudathanthirige, Dhanushka	An ODE-based method for resource allocation in a multi-agent systems
Kvalheim, Matthew	Limitations and capabilities of autoencoders for learning dynamics
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Lage, Svenja	Revisiting SPIR-Based PSI: A Computational Perspective
Lai, Lifeng	Compromising Offline RLHF: An Efficient Preference Poisoning Approach
Langberg, Michael	Secret key-distribution over networks with node-based adversarial errors
Lanzetti, Nicolas	Strategically Robust Dynamic Games
Larsson, Erik G.	Budget-Constrained Multi-Consensus Decentralized Gradient Descent
Lee, Christopher	Quantifying Classification Performance using Combinatorial Geometry and Local Data Analysis
Lesage-Landry, Antoine	Copositive characterization of convex hull pricing
Li, Na	Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
Li, Zhenghao	On data-driven control of linear systems with quantized data
Liang, Yuchen	Learnable Chernoff Baselines for Provable Inference-Time Alignment
Liu, Lingjie	Beyond Photorealism: 3D Reconstruction and Generation with Multimodal and Physical Grounding
Liu, Yepeng	In-Context Watermarks for Large Language Models
Liyanaarachchi, Sahan	The Rate-Distortion-Deception Tradeoff
Lugmayr, Andreas	Test-Time Anchoring for Discrete Diffusion Posterior Sampling
Lykouris, Thodoris	Optimal Exploration of New Products under Assortment Decisions
M
Maddah-Ali, Mohammad Ali	Few-Shot Universal Analog Communication Adaptive Decentralized Learning in Adversary-Dominated Settings
Maguluri, Siva Theja	Efficient Concentration through Stein's Method: An Illustration in Abandonment Queues
Maity, Dipankar	Eigenspace-Based Clustering for Personalized System Identification
Malik, Vikrant	Operator-Norm Robust LASSO: A Precise Analysis and an AMP-style Algorithm
Mallada, Enrique	On the Inductive Bias for Learning in Nonlinear Control: Trade-offs and Guarantees
Mandal, Avijit	Enhanced Feedback Mechanisms for Resource-Efficient Incremental Redundancy
Martins, Nuno	Counterclockwise Dissipativity and Lyapunov Stability in Learning for Large Populations
Marzouk, Youssef	Mean-shift interacting particle systems for sampling and quantization
Mateescu, Robert	Reed-Muller Codes for Joint Random and Stuck-At Error Correction
Mathieu, Johanna L.	Reconfiguration and Real-Time Control of Networked Microgrids Under Load Uncertainty
Matsuoka, Hikaru	Communication-Efficient Random Spectral Descent for Federated Learning over Noisy Networks
Mazumdar, Eric	Strategically Robust Dynamic Games
Mesforush Mashhad, Soroush	Adaptive Minimax Estimation Across SNR Regimes
Michelusi, Nicoló	Budget-Constrained Multi-Consensus Decentralized Gradient Descent
Miguel Gonçalves de Almeida, Filipe	Deep Reinforcement Learning for MSense: Learned Destroy–Repair Policies for Diversity-Aware and Heterogeneous Mobile Sensor Routing
Milanian, Mohammad	$\alpha$-Mutual Information for the Gaussian Noise Channel
Mitra, Aritra	High Probability Bounds for Stochastic Optimization Algorithms
Modiano, Eytan	Load Balancing with Partial Queue Information: Threshold Optimality and Indexability
Mohajer, Soheil	Few-Shot Universal Analog Communication Improving Confidentiality in Wireless Networks with Non-Linear Relays and Deep-Learning Adaptive Decentralized Learning in Adversary-Dominated Settings
Mohsenian-Rad, Hamed	Regret-Optimal Safe Adaptive Control under Chance Constraints: Application to Thermostatically Controlled Loads
Moradi, Parsa	Adaptive Decentralized Learning in Adversary-Dominated Settings
Moring, Hannah	Reconfiguration and Real-Time Control of Networked Microgrids Under Load Uncertainty
Morris, Jarod	Koopman Modeling and Stabilization of Discrete-Time Nonlinear Control Systems: Bilinearity on a Reproducing Kernel Hilbert Space
Mortaheb, Matin	Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission
Muller Vasconcelos, Marcos	Learning to Coordinate over Networks with Heterogeneous Rationalities
Munari, Andrea	Remote IoT Source Monitoring with Delayed Feedback
Mutembesa, Daniel	Deep Reinforcement Learning for MSense: Learned Destroy–Repair Policies for Diversity-Aware and Heterogeneous Mobile Sensor Routing
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Nagarajan, Harsha	Reconfiguration and Real-Time Control of Networked Microgrids Under Load Uncertainty
Naghizadeh, Parinaz	Embodied Persuasion: Information Design and Physical Leakage in Markov Games
Nakhleh, Khaled J.	Convergence of Fictitious Play in a Class of Product Markov Games
Nardi, Tyler	Optimal Incentive Contracting for Sensing and Searching for Rewards on a Graph
Nguyen, Duc Toan	Frechet Regression on Curved Manifolds
Nguyen, Thanh	Preference Aggregation in the Age of AI
Niazadeh, Rad	Prophet Inequalities with Cancellation Costs
Nomula, Srinivas	Distributed 20 Questions for Classification
Norolahi, Jafar	Near-Field RIS-Assisted In-Cabin 3D Localization and Harmonic-Aware Vital Sign Estimation
Nosratinia, Aria	A demonstration of information leakage via phase contamination
Nuti, Pranav	Prophet Inequalities with Cancellation Costs
O
Otto, Samuel	Data-Efficient Learning for Asymptotically Smooth Integral Operators
Ozbay, Olsan	PIR-DAG: Information-Theoretic Private Evaluation of Boolean Functions
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Paarporn, Keith	Learning to Avoid Tragedies: Feedback-Evolving Games with Heterogeneous Learning Rules
Padoan, Alberto	Behavioral System Theory for Dynamic Optimization
Papageorgiou, Ioannis	Distributed 20 Questions for Classification
Parag, Parimal	Distributed 20 Questions for Classification
Parhi, Rahul	Adaptive Minimax Estimation Across SNR Regimes
Park, Shinkyu	Kullback-Leibler Divergence Regularized Learning (KLD-RL) Dynamics in Population Games
Parulekar, Advait	Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo
Poojary, Pawan	Career Concerns and Social Learning in Principal-Agent Environments
Poolla, Bala Kameshwar	Reconfiguration and Real-Time Control of Networked Microgrids Under Load Uncertainty
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Qin, Junjie	A Single ML Model for Predicting AC Power Flow Solutions under Line Contingencies
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Rahman, Md Obaidur	A Single ML Model for Predicting AC Power Flow Solutions under Line Contingencies
Rajawat, Ketan	Stochastic Geometry meets Optimization: Soft Deployment in Cellular Networks
Ramanathana, Arvind	From Sequence to Signature: Infinite-Order Signature Kernels for Biological Sequence Learning
Ravi, Sathya	Real vs. Complex Spectral Bases for Neural Operators: The Role of Green's Function Alignment.
Ray Choudhury, Jyotishka	Robust and Adversarial Sequential Change-Point Detection in High Dimensions
Reisizadeh, Amirhossein	Modulated learning for private and distributed regression with just a single sample per client device
Ren, Shuyi	Budget-Constrained Multi-Consensus Decentralized Gradient Descent
Reyzin, Lev	Cross-Validation Error Dynamics in Smaller Datasets
Rout, Litu	Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo Test-Time Anchoring for Discrete Diffusion Posterior Sampling
Roy, Aritra	Impact of State Knowledge on Covert Communication in the Presence of Simultaneous Transmission
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Sadeghi, Alireza	Adversarially Robust Multiclass Classification via Error Correction Output Codes Rank-Adaptive Matrix-Free Atomic Quantum State Tomography
Sadique, Amin Fathima	A demonstration of information leakage via phase contamination
Sanghavi, Sujay	Faster Diffusion Language Models
Savla, Ketan	On the Necessity of Pricing to Steer Nonatomic No-Regret Agents to a Desired Bayes Correlated Equilibrium
Sayin, Muhammed	Decentralized Optimal Equilibrium Learning in Stochastic Games via Single-bit Feedback
Sayyari, Reza	Secret key-distribution over networks with node-based adversarial errors
Schwank, Renate	Revisiting SPIR-Based PSI: A Computational Perspective
Scutari, Gesualdo	Adaptive Decentralized Optimization
Shabbir, Mudassir	Quantifying Classification Performance using Combinatorial Geometry and Local Data Analysis
Shakkottai, Sanjay	Test-Time Anchoring for Discrete Diffusion Posterior Sampling
Shakkottai, Sanjay	Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo
Shakkottai, Srinivas	ECHO: Stackelberg Learning for Entropy Constrained Hierarchical Optimization in Tool Calling Agents
Shanmugam, Karthikeyan	Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo
Shibuya, Tetsuo	Differentially Private Selection using Enhanced Sensitivity Concepts
Shu, Tianmin	Online World Modeling for Closed-Loop Planning Under Partial Observability
Shukla, Abhishek	Stochastic Geometry meets Optimization: Soft Deployment in Cellular Networks
Siebenschuh, Carlo	From Sequence to Signature: Infinite-Order Signature Kernels for Biological Sequence Learning
Sinopoli, Bruno	Verifiably Safe Decentralized Control via Event-Triggered Topology Switching
Sipione, Davide	Kullback-Leibler Divergence Regularized Learning (KLD-RL) Dynamics in Population Games
Song, Dawn	In-Context Watermarks for Large Language Models
Srivastava, Ankur	PIR-DAG: Information-Theoretic Private Evaluation of Boolean Functions
Stevens, Rick	From Sequence to Signature: Infinite-Order Signature Kernels for Biological Sequence Learning
Stone, Tong	Adversarially Robust Multiclass Classification via Error Correction Output Codes
Subramanian, Vijay	Reasoning and learning to play against passive and reactive agents
Sulskis, Jason	Real vs. Complex Spectral Bases for Neural Operators: The Role of Green's Function Alignment.
Sun, Ruotong	Pro-KLShampoo: Projected KL-Shampoo with Whitening Recovered by Orthogonalization
Sundaram, Shreyas	Optimal Incentive Contracting for Sensing and Searching for Rewards on a Graph
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Taherpour, Amirhossein	Rank-Adaptive Matrix-Free Atomic Quantum State Tomography
Tajer, Ali	Tail-Aware Bandits: Optimal Rules and Algorithm
Tan, Jing Yee	Information-Theoretic Bounds for Sparse Covariance Estimation in the Vertical-Split Distributed Model
Tang, Wentao	Koopman Modeling and Stabilization of Discrete-Time Nonlinear Control Systems: Bilinearity on a Reproducing Kernel Hilbert Space
Tavory, Ami	Fisher Simplicity in KANs and MLPs
Taylor, Josh	Copositive characterization of convex hull pricing
Tsao, Matthew	Informal and Privatized Transit: Incentives, Efficiency and Coordination
U
Ulukus, Sennur	The Rate-Distortion-Deception Tradeoff
Uribe, Cesar A.	Frechet Regression on Curved Manifolds
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Vahid, Alireza	Near-Field RIS-Assisted In-Cabin 3D Localization and Harmonic-Aware Vital Sign Estimation
Varadharajan, Srivatsan	Test-Time Anchoring for Discrete Diffusion Posterior Sampling
Varshney, Lav	Information Lattice Learning as Probabilistic Graphical Model Structure Learning
Vasconcelos, Marcos	Source-Reliability Weighted Observer Design for Open Client–Server Networks
Velasevic, Boris	Strategically Robust Dynamic Games
Vepakomma, Praneeth	Modulated learning for private and distributed regression with just a single sample per client device
Viswanathan, Harish	Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission
Vondrák, Jan	Prophet Inequalities with Cancellation Costs
Vosoughi, Azadeh	Energy-Efficient RIS-Assisted User-Centric Cell-Free Massive MIMO: A Game-Theoretic Framework
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Wang, Xudong	Toward Compositional Generalization in the Physical World
Wang, Zedong	Efficient Concentration through Stein's Method: An Illustration in Abandonment Queues
Wang, Ziao	Achieving Almost Exact Recovery in Almost Quadratic Time: Rank-Based Graph Matching via Local Tree Correlation Tests
Wei, Amber He	Verifiably Safe Decentralized Control via Event-Triggered Topology Switching
Wei, Ermin	Pro-KLShampoo: Projected KL-Shampoo with Whitening Recovered by Orthogonalization
Whiting, Philip	An ODE-based method for resource allocation in a multi-agent systems
Wright, Stephen J	On the Efficiency of GRPO and the Generalization of Diffusion Models
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Xie, Liyan	Sequential Change Detection with Differential Privacy
Xie, Qiaomin	Wasserstein‑$p$ Central Limit Theorem Rates: From Local Dependence to Markov Chains
Xie, Yao	Robust and Adversarial Sequential Change-Point Detection in High Dimensions
Xu, Pan	Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
Xu, Weiyu	Compromising Offline RLHF: An Efficient Preference Poisoning Approach
Y
Yamamoto, Akito	Differentially Private Selection using Enhanced Sensitivity Concepts
Yang, Chenye	Compromising Offline RLHF: An Efficient Preference Poisoning Approach
Yang, Guosong	On data-driven control of linear systems with quantized data
Ye, Xiuzhen	Koopman Modeling and Stabilization of Discrete-Time Nonlinear Control Systems: Bilinearity on a Reproducing Kernel Hilbert Space
Yener, Aylin	The Rate-Distortion-Deception Tradeoff
Yi, Sha	Learning to Design Robots
Yildiz, Hikmet	Constructing Reed–Solomon Codes with Sparse Parity Checks
Ying, Lei	Achieving Almost Exact Recovery in Almost Quadratic Time: Rank-Based Graph Matching via Local Tree Correlation Tests
Yu, Haizi	Information Lattice Learning as Probabilistic Graphical Model Structure Learning
Yu, Jingjin	Constrained Dynamic Grasping under Limited Visual Feedback
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Zhang, Anru	When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification?
Zhang, Baosen	A Graph Neural Network Foundation Model for AC Optimal Power Flow
Zhang, Jiawei	On the Efficiency of GRPO and the Generalization of Diffusion Models
Zhang, Ruizhi	Sequential Change Detection with Differential Privacy
Zhang, Yixuan	Wasserstein‑$p$ Central Limit Theorem Rates: From Local Dependence to Markov Chains
Zhang, Yuyang	Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
Zhao, Xuandong	In-Context Watermarks for Large Language Models
Zhe, Zhang	Universal Parameter-Free First-Order Algorithms for Convex Optimization
Zheng, Yang	A Proximal Descent Method for Nonconvex Policy Optimization
Zhou, Xinyu	On the Efficiency of GRPO and the Generalization of Diffusion Models
Zhou, Yamin	Frechet Regression on Curved Manifolds
Zhu, Feng	High Probability Bounds for Stochastic Optimization Algorithms
Zhu, Quanyan	The Price of Transparency in Information Design: Bayesian Persuasion, Signaling, and the Commitment Gap

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