Kullback-Leibler Regularization

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5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Tilted Schrödinger Bridge Matching

    Sep 28, 2026Sergei Kholkin, Evgeny Burnaev, Alexander KorotinSchrödinger BridgesUnpaired Image-To-Image Translation

    Applied AI Institute

  2. Machine Unlearning for Gibbs Supervised Learning Algorithms

    Sep 24, 2026Yaiza Bermudez, Samir M. Perlaza, Iñaki EsnaolaGibbsExact Unlearning

    Centre Inria d’Universit´e Cˆote d’Azur, INRIA, Sophia Antipolis, France. · Laboratoire GAATI, Universit´e de la Polyn´esie franc¸aise, Fa‘a‘¯a, French Polynesia. · ECE Dept. Princeton University, Princeton, 08544 NJ, USA. +1

  3. Belted Engression: Sufficient Dimension Reduction for Generative Distributional Regression

    Sep 20, 2026Wenxi Tan, Bing Li, Lingzhou XueGenerative ModelsKullback-Leibler Regularization

    Department of Statistics, The Pennsylvania State University

  4. Distortion of AI Alignment Revisited: RLHF is a Decent Utilitarian Aligner

    Sep 14, 2026Kazusato Oko, Annie Ulichney, Nika Haghtalab +1Reinforcement Learning From Human FeedbackArtificial Intelligence Alignment

  5. When Greedy Sampling Explores: KL-Regularized Contextual Bandits without Eluder-Dimension Dependence

    Sep 11, 2026Zichen Wang, Haoyang Hong, Huazheng WangContextual Bandit FrameworkKullback-Leibler Regularization

    Department of ECE and CSL, University of Illinois Urbana-Champaign · School of Electrical Engineering and Computer Science, Oregon State University

  6. Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows

    Aug 12, 2026Thejani Gamage, Hyemin Gu, Zhizhen Zhang +3Long-Tailed DistributionWasserstein Gradient Flows

    Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA · School of Data and Information Sciences (SDIS) and Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC

  7. Information Bottleneck under Perfect Privacy

    Aug 11, 2026Junle Zhong, Mohamad Assaad, Sreejith SreekumarInformation BottleneckMinimax Rate

    Laboratoire des Signaux et Syst`emes (L2S), CNRS, CentraleSup´elec, Universit´e Paris-Saclay, 91190 Gif-sur-Yvette, France

  8. Toward Plasticity-Preserving KL Regularization for Capability Retention in LLM Reinforcement Learning

    Aug 3, 2026Li Wang, Xiaodong Lu, Xiaohan Wang +4Kullback-Leibler Regularization

    1Meituan · 2Nanyang Technological University

  9. Soft-Constrained Optimization of Latent Space in Variational Autoencoders

    Jul 26, 2026Ye ShiConditional Variational AutoencoderLatent Variable

    Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906 USA

  10. Distributional Soft Bellman Operator under the Cramér Geometry

    Jul 20, 2026Keru Wang, Yixin Deng, Yao Lyu +2Distributional Reinforcement LearningBellman Equation

    School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland · School of Vehicle and Mobility, Tsinghua University, Beijing, China · College of Artificial Intelligence, Tsinghua University, Beijing, China

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

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

    Department of Industrial Engineering and Operations Research, Columbia University, New York, NY 10027

  12. Entropy Regularization Improves Policy Robustness in Continuous-Time Reinforcement Learning

    Jul 3, 2026Jialun Cao, Fernando Acero, David Šiška +1Entropy Regularized Reinforcement LearningKullback-Leibler Regularization

    School of Mathematics, University of Edinburgh, United Kingdom. · J.P. Morgan AI Research, United Kingdom. · Department of Mathematics, Imperial College London, United Kingdom.

  13. Variational Inference via Entropic Transport Descent

    Jun 24, 2026Vincent Pacelli, Akash Ratheesh, Evangelos TheodorouVariational InferenceKullback-Leibler Regularization

    School of Aerospace Engineering Georgia Institute of Technology Atlanta, GA 30332

  14. Sample complexity of unbalanced entropic OT

    Jun 23, 2026Francisco Andrade, Gabriel Peyré, Clarice PoonOptimal Transport ApproachOptimal Sample Complexity

    INRIA (PreMeDICaL & HeKA) · INRIA · CNRS and ENS, PSL Universit´e +1

  15. QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem

    Jun 18, 2026Merijn Moody, Zier Mensch, Miranda C. N. Cheng +2Kullback-Leibler RegularizationKullback-Leibler Divergence

    Dutch Institute for Emergent Phenomena, University of Amsterdam, Netherlands · Institute of Physics, University of Amsterdam, Netherlands · Korteweg-de Vries Institute for Mathematics, University of Amsterdam, Netherlands +4

  16. A Variational Framework for LLM Generator-Regulator Games

    Jun 16, 2026Quanyan ZhuKullback-Leibler RegularizationLarge Language Model Generation

    Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA.

  17. Constrained Diffusion Models with Primal-Dual Inference

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

    Department of Electrical and Systems Engineering University of Pennsylvania

  18. Conformal Candidate Certification for Offline Model-Based Optimization

    Jun 13, 2026Seungjin ChoiOnline Conformal PredictionCandidate

    CROID Research and aSSIST University, Seoul, Korea.

  19. Constructing VAE Latent Spaces with Prescribed Topology

    Jun 5, 2026Jilles S. van Hulst, Jakub M. Tomczak, W. P. M. H. Heemels +1Conditional Variational AutoencoderManifolds

    Control Systems Technology Section, Department of Mechanical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands. · The research is carried out as part of the ITEA4 20216 ASIMOV project.

  20. Self-Distilled Policy Gradient

    Jun 2, 2026Yifeng Liu, Shiyuan Zhang, Yifan Zhang +1Unsupervised On-Policy Self-DistillationKullback-Leibler Regularization

    Department of Computer Science, University of California, Los Angeles, CA, USA · Princeton AI Laboratory, Princeton University, Princeton, NJ, USA

  21. Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting

    May 28, 2026Runze Xu, Arpit Garg, Hemanth Saratchandran +1Large Language Model AdaptationRapid Adaptation

    Australian Institute for Machine Learning Adelaide University Adelaide SA 5000

  22. Thinned Mean Field Langevin Dynamics

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

    University College London · 2Newcastle University · 3The Alan Turing Institute +1

  23. Quantum principal component analysis without eigenvector recovery

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

    Global College, Shanghai Jiao Tong University, Shanghai 200240, China · School of Electrical and Computer Engineering, Cornell University, Ithaca, New York 14850, United States · Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China +1

  24. Stochastic MeanFlow Policies: One-Step Generative Control with Entropic Mirror Descent

    May 20, 2026Zeyuan Wang, Da Li, Yulin Chen +6Flow PoliciesBoltzmann Policies

    Laboratory for Big Data and Decision, National University of Defense Technology, China · Samsung AI Center Cambridge, UK · Queen Mary University of London, UK +3

  25. DiPRL: Learning Discrete Programmatic Policies via Architecture Entropy Regularization

    May 18, 2026Chengpeng Hu, Yingqian Zhang, Hendrik BaierOffline Reinforcement LearningKullback-Leibler Regularization

    Eindhoven University of Technology, Eindhoven, the Netherlands · Centrum Wiskunde & Informatica, Amsterdam, the Netherlands

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

    May 13, 2026Peiyao Wang, Liang Bai, Xian Yang +2Graph Neural NetworksImproved Generalization

    Institute of Intelligent Information Processing Shanxi University, Taiyuan, 030006, China · Alliance Manchester Business School University of Manchester, Manchester, M13 9PL, UK · Department of Mathematics Hong Kong Baptist University, Hong Kong SAR, China

  27. ERPPO: Entropy Regularization-based Proximal Policy Optimization

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

    Korea Advanced Institute of Science and Technology, Daejeon, South Korea

  28. Offline Two-Player Zero-Sum Markov Games with KL Regularization

    May 13, 2026Claire Chen, Yuheng Zhang, Xinyu Liu +3Mean Field GamesObservable Stochastic Game

    1California Institute of Technology. · University of Illinois Urbana-Champaign. · University of Virginia. +2

  29. Sobolev Regularized MMD Gradient Flow

    May 12, 2026Chenyang Tian, Bharath K. Sriperumbudur, Arthur Gretton +1Maximum Mean DiscrepancyWasserstein Gradient Flows

    Tsinghua University · Pennsylvania State University · University College London +1

  30. expo: Exploration-prioritized policy optimization via adaptive kl regulation and gaussian curriculum sampling

    May 11, 2026Mingxiong Lin, Zhangquan Gong, Maowen Tang +6Reinforcement Learning With Verifiable RewardMathematical Reasoning Benchmarks

    OPPO AI Center

  31. Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability

    May 9, 2026Qingyue Zhao, Kaixuan Ji, Heyang Zhao +1Kullback-Leibler RegularizationContextual Bandit Framework

    Department of Computer Science, University of California, Los Angeles, CA 90095, USA

  32. Sinkhorn Treatment Effects: A Causal Optimal Transport Measure

    May 8, 2026Medha Agarwal, Alex LuedtkeHeterogeneous Treatment EffectsOptimal Transport Approach

    Department of Statistics, University of Washington, Seattle, WA, USA · Department of Health Care Policy, Harvard Medical School, Boston, MA, USA

  33. ff-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses

    May 7, 2026Di Wu, Chengshuai Shi, Jing Yang +1Kullback-Leibler RegularizationReinforcement Learning From Human Feedback

    Department of Electrical and Computer Engineering, University of Virginia, Virginia, United States · Princeton Language and Intelligence, Princeton University, New Jersey, United States

  34. HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning

    May 7, 2026Yu Feng, Zhen Tian, Haoran Luo +8Class-Incremental LearningCatastrophic Forgetting

    China Mobile Research Institute, China · Beijing University of Posts and Telecommunications, China · Nanyang Technological University, Singapore +1

  35. Entropic Riemannian Neural Optimal Transport

    May 5, 2026Alessandro Micheli, Silvia Sapora, Anthea Monod +1Differentiable Optimal TransportKullback-Leibler Regularization

    Imperial College London London, UK · University of Oxford Oxford, UK · Statens Serum Institut Copenhagen, Denmark +1

  36. On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization

    May 4, 2026Kaixuan Ji, Qiwei Di, Heyang Zhao +2Kullback-Leibler RegularizationOptimal Sample Complexity

    Department of Computer Science, University of California, Los Angeles, CA 90095, USA

  37. Healthcare AI GYM for Medical Agents

    May 1, 2026Minbyul JeongClinical Reasoning TrainingSkillgym

    Upstage AI

  38. Pessimism-Free Offline Learning in General-Sum Games via KL Regularization

    Apr 30, 2026Claire Chen, Yuheng ZhangKullback-Leibler RegularizationImperfect-Information Games

    The Division of Physics, Mathematics and Astronomy California Institute of Technology · Department of Computer Science University of Illinois Urbana-Champaign

  39. Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data

    Apr 25, 2026Mackenzie R. Neal, Paul D. McNicholas, Arthur WhiteClusteringUnsupervised

    Department of Mathematics & Statistics, McMaster University, Ontario, Canada · School of Computer Science & Statistics, Trinity College Dublin, Ireland

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

    Apr 22, 2026Yaiza Bermudez, Samir M. Perlaza, Iñaki EsnaolaDecentralized LearningGibbs

    Centre Inria d'Université Côte d'Azur, INRIA, Sophia Antipolis, France. · Laboratoire GAATI, Université de la Polynésie française, Fa'a'ā, French Polynesia. · ECE Dept. Princeton University, Princeton, 08544 NJ, USA. +1

  41. Demystifying the unreasonable effectiveness of online alignment methods

    Apr 19, 2026Enoch Hyunwook KangInterval RegretKullback-Leibler Regularization

    Foster School of Business University of Washington

  42. Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization

    Feb 3, 2026Henrik Schopmans, Christopher von Klitzing, Pascal FriederichBoltzmann DistributionsKullback-Leibler Regularization

    Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany · Institute of Nanotechnology, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany

  43. Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning

    Jun 20, 2025Marco Jiralerspong, Esther Derman, Danilo Vucetic +5Kullback-Leibler RegularizationRejection Sampling

    1Université de Montréal · 2Mila · 5Independent +1

  44. Machine Unlearning via Information Theoretic Regularization

    Feb 8, 2025Shizhou Xu, Thomas StrohmerMachine UnlearningExact Unlearning

    Department of Mathematics University of California Davis Davis, CA 95616-5270, USA · Department of Mathematics Center of Data Science and Artificial Intelligence Research University of California Davis Davis, CA 95616-5270, USA