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kullback-leibler divergence

228 papers

KL-DIVERGENCE KLD KL DIVERGENCE

Papers

Q-conjugate Message Passing for Efficient Bayesian Inference PGM 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NeurIPS 2024 Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models AAAI 2024 Soft-constrained Schrödinger Bridge: a Stochastic Control Approach AISTATS 2024 Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NeurIPS 2024 Theoretical guarantees in KL for Diffusion Flow Matching NeurIPS 2024 Towards the Fundamental Limits of Knowledge Transfer over Finite Domains ICLR 2024 Unsupervised Tree Boosting for Learning Probability Distributions JMLR 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NeurIPS 2024 A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023 Bayesian Federated Neural Matching That Completes Full Information AAAI 2023 Computing Divergences between Discrete Decomposable Models AAAI 2023 Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization AAAI 2023 Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models NeurIPS 2023 Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Entropy-based Training Methods for Scalable Neural Implicit Samplers NeurIPS 2023 Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks AAAI 2023 Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits NeurIPS 2023 Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space ICML 2023 General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence NeurIPS 2023 Improving the Gap in Visual Speech Recognition Between Normal and Silent Speech Based on Metric Learning Interspeech 2023 In- or out-of-distribution detection via dual divergence estimation UAI 2023 Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023 Look-back Decoding for Open-Ended Text Generation EMNLP 2023