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kullback-leibler divergence

228 papers

KL-DIVERGENCE KLD KL DIVERGENCE

Papers

On the Natural Gradient of the Evidence Lower Bound JMLR 2025 Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling ICLR 2025 Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models COLING 2025 Training Neural Samplers with Reverse Diffusive KL Divergence AISTATS 2025 Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025 Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix AISTATS 2025 Adaptive Compression in Federated Learning via Side Information AISTATS 2024 A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024 Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024 Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024 ARM: Alignment with Residual Energy-Based Model NAACL 2024 Bayesian Pseudo-Coresets via Contrastive Divergence UAI 2024 Better-than-KL PAC-Bayes Bounds COLT 2024 Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment AAAI 2024 Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NeurIPS 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 DE-Lite - a New Corpus of Easy German: Compilation, Exploration, Analysis EACL 2024 DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution UAI 2024 Fast parallel sampling under isoperimetry COLT 2024 Federated Neuro-Symbolic Learning ICML 2024 General bounds on the quality of Bayesian coresets NeurIPS 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning ICML 2024 Optimal estimation of Gaussian (poly)trees AISTATS 2024 Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes COLT 2024