kl divergence

An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023 Beta Diffusion NeurIPS 2023 Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023 Data Selection for Language Models via Importance Resampling NeurIPS 2023 Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Entropy Regularization for Population Estimation AAAI 2023 Exploring a classification approach using quantised articulatory movements for acoustic to articulatory inversion Interspeech 2023 Faster Relative Entropy Coding with Greedy Rejection Coding NeurIPS 2023 How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023 Improved Discretization Analysis for Underdamped Langevin Monte Carlo COLT 2023 Information theoretic clustering via divergence maximization among clusters UAI 2023 Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks NeurIPS 2023 Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards NeurIPS 2023 Language Model Alignment with Elastic Reset NeurIPS 2023 Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation CVPR 2023 ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding ACL 2023 Particle-based Variational Inference with Preconditioned Functional Gradient Flow ICLR 2023 Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent NeurIPS 2023 Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023 Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023 Variational Inference for Neyman-Scott Processes AISTATS 2023 Are GANs overkill for NLP? NeurIPS 2022 ASPiRe: Adaptive Skill Priors for Reinforcement Learning NeurIPS 2022 Bayesian inference via sparse Hamiltonian flows NeurIPS 2022