Learning Theory

Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems AAAI 2020 Bounds in query learning COLT 2020 Budgeted Online Influence Maximization ICML 2020 Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020 Can Deep Learning Recognize Subtle Human Activities? CVPR 2020 Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NeurIPS 2020 CASTLE: Regularization via Auxiliary Causal Graph Discovery NeurIPS 2020 Cautious Limit Learning ALT 2020 Chain Length and CSPs Learnable with Few Queries AAAI 2020 Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability NeurIPS 2020 Classifier Probes May Just Learn from Linear Context Features COLING 2020 Closure Properties for Private Classification and Online Prediction COLT 2020 Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization ICLR 2020 Collapsing Bandits and Their Application to Public Health Intervention NeurIPS 2020 Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020 Combinatorial Pure Exploration for Dueling Bandit ICML 2020 Comparator-Adaptive Convex Bandits NeurIPS 2020 Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract) IJCAI 2020 Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network ICLR 2020 Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model ICML 2020 Computing the Testing Error Without a Testing Set CVPR 2020 Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice IJCAI 2020 Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds NeurIPS 2020 Connecting Spectral Clustering to Maximum Margins and Level Sets JMLR 2020 ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020