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Statistical Learning

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Papers

The Sample Complexity of Level Set Approximation AISTATS 2021
Learning with User-Level Privacy NIPS 2021
4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis CVPR 2021
Almost Linear Time Density Level Set Estimation via DBSCAN AAAI 2021
A unified framework for bandit multiple testing NIPS 2021
Evaluating model performance under worst-case subpopulations NIPS 2021
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions AISTATS 2021
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021
Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem COLT 2021
Conformal Prediction using Conditional Histograms NIPS 2021
Prediction with Finitely many Errors Almost Surely AISTATS 2021
A Multinomial Processing Tree Model of RC Attachment NAACL 2021
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling AAAI 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers NIPS 2021
Tighter Expected Generalization Error Bounds via Wasserstein Distance NIPS 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression AISTATS 2021
Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT AAAI 2021
Concentration inequalities under sub-Gaussian and sub-exponential conditions NIPS 2021
List-Decodable Mean Estimation in Nearly-PCA Time NIPS 2021
Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021
Nonparametric Variable Screening with Optimal Decision Stumps AISTATS 2021
Predicting the Success of Domain Adaptation in Text Similarity ACL 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021