Learning Theory

Simultaneous Translation with Flexible Policy via Restricted Imitation Learning ACL 2019 Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity NeurIPS 2019 Solving Imperfect-Information Games via Discounted Regret Minimization AAAI 2019 Space lower bounds for linear prediction in the streaming model COLT 2019 Sparse Kernel Regression with Coefficient-based ℓ_q-regularization JMLR 2019 State-Regularized Recurrent Neural Networks ICML 2019 Statistical-Computational Tradeoff in Single Index Models NeurIPS 2019 Statistical Learning under Nonstationary Mixing Processes AISTATS 2019 STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks IJCAI 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Stochastic Canonical Correlation Analysis JMLR 2019 Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization ICLR 2019 Strategizing against No-regret Learners NeurIPS 2019 Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects CVPR 2019 Structural Causal Bandits with Non-Manipulable Variables AAAI 2019 Structure Learning for Safe Policy Improvement IJCAI 2019 Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages NAACL 2019 Submodular Batch Selection for Training Deep Neural Networks IJCAI 2019 Support and Invertibility in Domain-Invariant Representations AISTATS 2019 Target-Based Temporal-Difference Learning ICML 2019 Target Tracking for Contextual Bandits: Application to Demand Side Management ICML 2019 Testing a Minimalist Grammar Parser on Italian Relative Clause Asymmetries NAACL 2019 Testing Identity of Multidimensional Histograms COLT 2019 The advantages of multiple classes for reducing overfitting from test set reuse ICML 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019