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822 papers

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Papers

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021 Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies ICML 2021 Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections NeurIPS 2021 Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance ACL 2021 Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021 Robust Inference for High-Dimensional Linear Models via Residual Randomization ICML 2021 Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions JMLR 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings EMNLP 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021 Testing Conditional Independence via Quantile Regression Based Partial Copulas JMLR 2021 The Energy and Carbon Footprint of Training End-to-End Speech Recognizers Interspeech 2021 The Sample Complexity of Robust Covariance Testing COLT 2021 Understanding the Under-Coverage Bias in Uncertainty Estimation NeurIPS 2021 Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting NeurIPS 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021 V-statistics and Variance Estimation JMLR 2021 What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think EMNLP 2021 Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020 A Finite-Sample Deviation Bound for Stable Autoregressive Processes L4DC 2020 An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results ACL 2020 Approximate Cross-Validation for Structured Models NeurIPS 2020 Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NeurIPS 2020 Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020 Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations NeurIPS 2020