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684 directly classified papers

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Papers

Worst-Case Analysis for Randomly Collected Data NIPS 2020
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NIPS 2020
Multivariate Probability Calibration with Isotonic Bernstein Polynomials IJCAI 2020
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications IJCAI 2020
Testing Goodness of Fit of Conditional Density Models with Kernels UAI 2020
Learning Structured Distributions From Untrusted Batches: Faster and Simpler NIPS 2020
Optimal Statistical Hypothesis Testing for Social Choice UAI 2020
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ACL 2020
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020
Robust Gradient-Based Markov Subsampling AAAI 2020
Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs JMLR 2020
Distributed Feature Screening via Componentwise Debiasing JMLR 2020
NLPStatTest: A Toolkit for Comparing NLP System Performance AACL 2020
A Finite-Sample Deviation Bound for Stable Autoregressive Processes L4DC 2020
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019
Unified Sample-Optimal Property Estimation in Near-Linear Time NIPS 2019
Learning Distributions Generated by One-Layer ReLU Networks NIPS 2019
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks ACL 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019
Causal Inference Under Interference And Network Uncertainty UAI 2019
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NIPS 2019
Guaranteed Scalable Learning of Latent Tree Models UAI 2019
A maximum-mean-discrepancy goodness-of-fit test for censored data AISTATS 2019