Theory

Randomized Smoothing of All Shapes and Sizes ICML 2020 Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures ICML 2020 Randomness Efficient Feature Hashing for Sparse Binary Data ACML 2020 Random Projections and α-Shape to Support the Kernel Design (Student Abstract) AAAI 2020 Random Smoothing Might be Unable to Certify ℓ_∞ Robustness for High-Dimensional Images JMLR 2020 Ranking Semantics for Argumentation Systems With Necessities IJCAI 2020 RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders AISTATS 2020 Real-Valued Logics for Typological Universals: Framework and Application COLING 2020 Reducibility and Statistical-Computational Gaps from Secret Leakage COLT 2020 Refined bounds for algorithm configuration: The knife-edge of dual class approximability ICML 2020 Regularized linear autoencoders recover the principal components, eventually NeurIPS 2020 Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism ICML 2020 Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension NeurIPS 2020 Relative Interior Rule in Block-Coordinate Descent CVPR 2020 Reliable Fidelity and Diversity Metrics for Generative Models ICML 2020 Reservoir Computing meets Recurrent Kernels and Structured Transforms NeurIPS 2020 Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve CVPR 2020 Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks IJCAI 2020 Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian NeurIPS 2020 Risk Bounds for Reservoir Computing JMLR 2020 Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret NeurIPS 2020 RNNs can generate bounded hierarchical languages with optimal memory EMNLP 2020 Robust Density Estimation under Besov IPM Losses NeurIPS 2020 Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020 Robust guarantees for learning an autoregressive filter ALT 2020