kullback-leibler divergence

MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery ICCV 2023 Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery CVPR 2023 Norm of Word Embedding Encodes Information Gain EMNLP 2023 On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits ALT 2023 On the Interventional Kullback-Leibler Divergence CLeaR 2023 On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions NeurIPS 2023 Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023 SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization CVPR 2023 TDG4Crowd:Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing IJCAI 2023 The s-value: evaluating stability with respect to distributional shifts NeurIPS 2023 Time-Independent Information-Theoretic Generalization Bounds for SGLD NeurIPS 2023 Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization ICML 2023 Approximate Bayesian Computation via Classification JMLR 2022 Dimension reduction for high-dimensional small counts with KL divergence UAI 2022 Fast Rank-1 NMF for Missing Data with KL Divergence AISTATS 2022 GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation AAAI 2022 Generalised Mutual Information for Discriminative Clustering NeurIPS 2022 High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks COLT 2022 Implicitly Regularized RL with Implicit Q-values AISTATS 2022 Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution IJCAI 2022 Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering COLT 2022 Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings EMNLP 2022 Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation ACL 2022 Pathfinder: Parallel quasi-Newton variational inference JMLR 2022 Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022