information theory

Deciding What to Learn: A Rate-Distortion Approach ICML 2021 Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021 Dimension-free empirical entropy estimation NeurIPS 2021 Disambiguatory Signals are Stronger in Word-initial Positions EACL 2021 Domain Divergences: A Survey and Empirical Analysis NAACL 2021 Efficient Bayesian network structure learning via local Markov boundary search NeurIPS 2021 Estimating the Unique Information of Continuous Variables NeurIPS 2021 Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021 Explaining by Removing: A Unified Framework for Model Explanation JMLR 2021 Finding Concept-specific Biases in Form–Meaning Associations NAACL 2021 Finding Relevant Information via a Discrete Fourier Expansion ICML 2021 Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NeurIPS 2021 Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021 Information-theoretic generalization bounds for black-box learning algorithms NeurIPS 2021 Information-Theoretic Generalization Bounds for Stochastic Gradient Descent COLT 2021 Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities IJCAI 2021 Information-Theoretic Regularization for Multi-Source Domain Adaptation ICCV 2021 Information-Theoretic Segmentation by Inpainting Error Maximization CVPR 2021 Measuring Dependence with Matrix-based Entropy Functional AAAI 2021 Natural Language Processing for Computer Scientists and Data Scientists at a Large State University NAACL 2021 Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NeurIPS 2021 On Robust Mean Estimation under Coordinate-level Corruption ICML 2021 Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NeurIPS 2021 Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization AAAI 2021