Entropy-Regularized Equilibrium Selection

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  1. Statistical Rates for Entropic Optimal Transport in the Discrete to SubGaussian Regime

    Sep 22, 2026Tomas Gonzalez, Gonzalo MenaOptimal TransportEntropy-Regularized Equilibrium Selection

  2. A positive resolution of the gap-entropy conjecture

    Sep 9, 2026P. M. Aronow, Nathan Kallus, Patrick LopattoOptimal ActionsEntropy-Regularized Equilibrium Selection

  3. Tensor network representations of discrete maximum entropy distributions via mean polytopes

    Sep 7, 2026Alex Goessmann, Martin EigelTensor NetworksEntropy-Regularized Equilibrium Selection

  4. Information Bottleneck under Perfect Privacy

    Aug 11, 2026Junle Zhong, Mohamad Assaad, Sreejith SreekumarInformation BottleneckEntropy-Regularized Equilibrium Selection

  5. Wasserstein Policy Gradient for Entropy-Regularized Linear-Quadratic Control

    Aug 7, 2026Zhaoyu Zhu, Rui Gao, Shuang LiLinear Quadratic RegulatorPolicy Gradient

  6. Distributional Soft Bellman Operator under the Cramér Geometry

    Jul 20, 2026Keru Wang, Yixin Deng, Yao Lyu +2Bellman EquationEntropy-Regularized Equilibrium Selection

  7. The Curvature Shadow: An Apparent Failure of Maximum-Entropy Equilibrium Selection is a Removable Artifact

    Jul 20, 2026Luis LealNash EquilibriumEntropy-Regularized Equilibrium Selection

  8. Tight Sample Bounds for Renyi and Min-Entropy Estimation

    Jul 18, 2026Arman Adibi, Piotr KrystaOptimal Sample ComplexityEntropy-Regularized Equilibrium Selection

  9. A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models

    Jul 16, 2026Zikun Zhang, Jiayuan Sheng, David D. Yao +1Diffusion PoliciesScore-Based Diffusion Model

  10. Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

    Jul 7, 2026Jian Xu, Delu Zeng, John Paisley +1EntanglementEntropy-Regularized Equilibrium Selection

  11. ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy

    Jul 3, 2026Zijun Xie, Yuyang You, Yongzhi Li +6Credit AssignmentEntropy-Regularized Equilibrium Selection

  12. Gauging, Measuring, and Controlling Critic Complexity in Actor-Critic Reinforcement Learning

    Jul 1, 2026Konstantin GarbersSoft Actor-CriticCritic

  13. Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning

    Jun 30, 2026Krishna Harsha Kovelakuntla Huthasana, Alireza Olama, Andreas LundellFederated LearningEntropy-Regularized Equilibrium Selection

  14. Variational Inference via Entropic Transport Descent

    Jun 24, 2026Vincent Pacelli, Akash Ratheesh, Evangelos TheodorouVariational InferenceEntropy-Regularized Equilibrium Selection

  15. Sample complexity of unbalanced entropic OT

    Jun 23, 2026Francisco Andrade, Gabriel Peyré, Clarice PoonEntropy-Regularized Equilibrium SelectionOptimal Sample Complexity

  16. A Variational Framework for LLM Generator-Regulator Games

    Jun 16, 2026Quanyan ZhuEntropy-Regularized Equilibrium SelectionAutoregressive Language Models

  17. Constrained Diffusion Models with Primal-Dual Inference

    Jun 15, 2026Samar Hadou, Yigit Berkay Uslu, Alejandro RibeiroDiffusion SamplingPrimal-Dual Methods

  18. On the Entropy Formula for Real, Complex, and Quaternionic Deep Linear Networks

    Jun 15, 2026Luis Contreras, Marco Nahas, Tejas KotwalDeep NetworkQuaternion

  19. Conformal Candidate Certification for Offline Model-Based Optimization

    Jun 13, 2026Seungjin ChoiConformal CalibrationConformal Prediction

  20. Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling

    Jun 7, 2026Hong Guo, Nianhui Guo, Christoph Meinel +1Importance SamplingEntropy-Regularized Equilibrium Selection

  21. GENERIC-FNO: Embedding Energy Conservation and Entropy Production into Fourier Neural Operators

    Jun 6, 2026Jason Sulskis, Sathya RaviFourier Neural OperatorsNeural Operators

  22. DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination

    Jun 6, 2026Yi Xie, Zhanke Zhou, Chentao Cao +2Multi-Agent Large Language ModelEquilibrium

  23. Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies

    May 31, 2026Biswajeet Sahoo, Debadutta PatraConventional Physics-Informed Neural NetworksPhysics-Informed Machine Learning

  24. Thinned Mean Field Langevin Dynamics

    May 27, 2026Zonghao Chen, Heishiro Kanagawa, François-Xavier Briol +2Mean-Field LimitLangevin Dynamics

  25. Quantum principal component analysis without eigenvector recovery

    May 27, 2026Yewei Yuan, Michele Minervini, Mark M. Wilde +1Principal Component AnalysisLargest Eigenvalue

  26. Global Convergence of Wasserstein Policy Gradient for Entropy-Regularized Reinforcement Learning

    May 25, 2026Zhaoyu Zhu, Rui Gao, Shuang LiPolicy GradientEntropy-Regularized Equilibrium Selection

  27. Learning Permutation from Structure Without Supervision

    May 25, 2026Ran Eisenberg, Ofir LindenbaumPermutationEntropy-Regularized Equilibrium Selection

  28. Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs

    May 24, 2026Ziyue Chen, David Šiška, Lukasz SzpruchPolicy GradientEntropy-Regularized Equilibrium Selection

  29. Refined Analysis of Entropy-Regularized Actor-Critic

    May 23, 2026Safwan Labbi, Paul Mangold, Daniil Tiapkin +1Soft Actor-CriticEntropy-Regularized Equilibrium Selection

  30. Human-Centered Learning Mechanics: A Dynamical Framework for Entropy-Regulated Representation Learning

    May 21, 2026Kim Phuc TranEntropy-Regularized Equilibrium SelectionLearning Dynamics

  31. Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization

    May 20, 2026Zheyuan Zhang, Kaiwen Shi, Han Bao +3Multi-Objective Policy OptimizationCalibrated Uncertainty

  32. On Gaussian approximation for entropy-regularized Q-learning with function approximation

    May 17, 2026Artemy Rubtsov, Rahul Singh, Eric Moulines +2Q-LearningCentral Limit Theorem

  33. Sharp Spectral Thresholds for Logit Fixed Points

    May 15, 2026Tongxi WangEntropy-Regularized Equilibrium SelectionGumbel-Softmax Relaxation

  34. Rethinking Generalization in Graph Neural Networks: A Structural Complexity Perspective

    May 13, 2026Peiyao Wang, Liang Bai, Xian Yang +2Graph Neural NetworksModel Complexity

  35. ERPPO: Entropy Regularization-based Proximal Policy Optimization

    May 13, 2026Changha Lee, Gyusang ChoProximal Policy OptimizationMulti-Agent Reinforcement Learning

  36. Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization

    May 12, 2026Huimin Xu, Shuai Zhao, Xiaobao Wu +1Reinforcement Learning With Verifiable RewardFlow-Based Policy

  37. Mutual Information Optimal Density Control of Linear Systems and Generalized Schrödinger Bridges with Reference Refinement

    May 10, 2026Shoju Enami, Kenji KashimaOptimal ControlSchrödinger Bridges

  38. Entropic Riemannian Neural Optimal Transport

    May 5, 2026Alessandro Micheli, Silvia Sapora, Anthea Monod +1Optimal TransportEntropy-Regularized Equilibrium Selection

  39. Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

    Apr 24, 2026Asim Ukaye, Mubarak Abdu-Aguye, Nurbek Tastan +1Federated LearningEntropy-Regularized Equilibrium Selection

  40. Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms

    Apr 22, 2026Yaiza Bermudez, Samir M. Perlaza, Iñaki EsnaolaGibbs MeasuresEmpirical Risk Minimization

  41. The Effective Number of Nonzeros: Theory and Regularization for Sparse Recovery

    Mar 14, 2026Haoyu He, Hao Wang, Jiashan Wang +1Sparse RecoverySparsity

  42. Entropy-Generated Attention Beyond Softmax and Entmax: Kaniadakis and Reciprocal-Symmetric Abe Operators

    Feb 9, 2026Gunn KimEntropy-Regularized Equilibrium SelectionGumbel-Softmax Relaxation

  43. QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning

    Feb 4, 2026Doyeon Lee, Eunyi Lyou, Hyunsoo Cho +3Reinforcement Fine-TuningLarge Language Model Fine-Tuning

  44. A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization

    Feb 2, 2026Xiyuan Wei, Linli Zhou, Bokun Wang +2Empirical Risk MinimizationEntropy-Regularized Equilibrium Selection

  45. Generalization Bounds for Markov Algorithms through Entropy Flow Computations

    Feb 11, 2025Benjamin Dupuis, Maxime Haddouche, George Deligiannidis +1Generalization BoundsEntropy-Regularized Equilibrium Selection