information theory

Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations EMNLP 2020 Spread Divergence ICML 2020 The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions AISTATS 2020 Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework UAI 2020 Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NeurIPS 2020 A Theory of State Abstraction for Reinforcement Learning AAAI 2019 A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NeurIPS 2019 CCMI : Classifier based Conditional Mutual Information Estimation UAI 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 Correspondence Analysis Using Neural Networks AISTATS 2019 Data mining Mandarin tone contour shapes ACL 2019 Diversity is All You Need: Learning Skills without a Reward Function ICLR 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019 Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates NeurIPS 2019 Information Theoretic lower bounds on negative log likelihood ICLR 2019 Informative Object Annotations: Tell Me Something I Don't Know CVPR 2019 Inherent Tradeoffs in Learning Fair Representations NeurIPS 2019 Invariant Information Clustering for Unsupervised Image Classification and Segmentation ICCV 2019 Learning Controllable Fair Representations AISTATS 2019 Learning Set Functions with Limited Complementarity AAAI 2019 Learning to Explain With Complemental Examples CVPR 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 Making the Last Iterate of SGD Information Theoretically Optimal COLT 2019