kullback-leibler divergence
228 papers
Also known as
KL-DIVERGENCE
KLD
KL DIVERGENCE
Co-occurring keywords · papers mentioning both
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