Theory

Explaining Knowledge Distillation by Quantifying the Knowledge CVPR 2020 Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation AISTATS 2020 Exploring End-to-End Differentiable Natural Logic Modeling COLING 2020 Extending Learnability to Auxiliary-Input Cryptographic Primitives and Meta-PAC Learning COLT 2020 Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms NeurIPS 2020 Fine-Grained View on Bribery for Group Identification IJCAI 2020 Finite Depth and Width Corrections to the Neural Tangent Kernel ICLR 2020 Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes NeurIPS 2020 Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020 Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning COLT 2020 Finite-Time Convergence in Continuous-Time Optimization ICML 2020 Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning AISTATS 2020 Flexible distribution-free conditional predictive bands using density estimators AISTATS 2020 Forgetting Auxiliary Atoms in Forks (Extended Abstract) IJCAI 2020 Formal Limitations on the Measurement of Mutual Information AISTATS 2020 Frequency-based Search-control in Dyna ICLR 2020 From Predictions to Decisions: Using Lookahead Regularization NeurIPS 2020 Functional vs. parametric equivalence of ReLU networks ICLR 2020 Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations ICML 2020 Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020 GAIT: A Geometric Approach to Information Theory AISTATS 2020 Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency AISTATS 2020 Generalisation error in learning with random features and the hidden manifold model ICML 2020 Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization NeurIPS 2020 Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint ICLR 2020