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kullback-leibler divergence

181 papers

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Also known as

KL KL-DIVERGENCE KLD KL DIVERGENCE

Co-occurring keywords

variational inference (2069) kl divergence (196) generative model (2892) bayesian inference (1907) posterior distribution (259) probabilistic modeling (852) neural network (6616) knowledge distillation (3725) mutual information (724) variational autoencoder (1288)

Papers

On the Role of Data in PAC-Bayes Bounds AISTATS 2021
RaSE: Random Subspace Ensemble Classification JMLR 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation NIPS 2021
Expanding Boundaries of Gap Safe Screening JMLR 2021
Measure Transport with Kernel Stein Discrepancy AISTATS 2021
Scalable First-Order Methods for Robust MDPs AAAI 2021
Variational Fair Clustering AAAI 2021
An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives NIPS 2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models NIPS 2021
Imitation with Neural Density Models NIPS 2021
Two-stage Training for Learning from Label Proportions IJCAI 2021
Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences AISTATS 2021
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence NIPS 2021
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning ICML 2021
On the Convex Combination of Determinantal Point Processes ACML 2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space NIPS 2021
Fisher Auto-Encoders AISTATS 2021
Variational refinement for importance sampling using the forward Kullback-Leibler divergence UAI 2021
Challenging the Semi-Supervised VAE Framework for Text Classification EMNLP 2021
Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards NIPS 2020
Model Fusion with Kullback-Leibler Divergence ICML 2020
Probabilistic Regression for Visual Tracking CVPR 2020
Distributionally Robust Counterfactual Risk Minimization AAAI 2020