Statistical Learning

Mark-Evaluate: Assessing Language Generation using Population Estimation Methods COLING 2020 Measuring Linguistic Diversity During COVID-19 EMNLP 2020 Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020 Metric-Free Individual Fairness in Online Learning NeurIPS 2020 Minimax Bounds for Generalized Linear Models NeurIPS 2020 Minimax Classification with 0-1 Loss and Performance Guarantees NeurIPS 2020 Minimax Estimation of Conditional Moment Models NeurIPS 2020 Minimax Nonparametric Parallelism Test JMLR 2020 Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects NeurIPS 2020 Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020 Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020 Minimax Testing of Identity to a Reference Ergodic Markov Chain AISTATS 2020 Model Inversion Networks for Model-Based Optimization NeurIPS 2020 Multi-Hypothesis Machine Translation Evaluation ACL 2020 Mutual Transfer Learning for Massive Data ICML 2020 Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures ICML 2020 Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals NeurIPS 2020 Neural Discriminant Analysis for Deep Speaker Embedding Interspeech 2020 Neyman-Pearson classification: parametrics and sample size requirement JMLR 2020 Noise Accumulation in High Dimensional Classification and Total Signal Index JMLR 2020 Noise-Contrastive Estimation for Multivariate Point Processes NeurIPS 2020 Non-asymptotic Analysis for Nonparametric Testing COLT 2020 Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors NeurIPS 2020 Nonparametric Score Estimators ICML 2020 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020