← Optimization & Theory
Machine Learning › Optimization & Theory ›

Statistics

684 directly classified papers

Papers per year

Papers

Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View NIPS 2020
Empirical Likelihood for Contextual Bandits NIPS 2020
Overview of NLPTEA-2020 Shared Task for Chinese Grammatical Error Diagnosis AACL 2020
Inference for Batched Bandits NIPS 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NIPS 2020
Multiparameter Persistence Landscapes JMLR 2020
Private Identity Testing for High-Dimensional Distributions NIPS 2020
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations NIPS 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NIPS 2020
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NIPS 2020
The All-or-Nothing Phenomenon in Sparse Tensor PCA NIPS 2020
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms NIPS 2020
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning NIPS 2020
Sharp uniform convergence bounds through empirical centralization NIPS 2020
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020
Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics ACL 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making ICML 2020
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020
On Learning Ising Models under Huber's Contamination Model NIPS 2020
Cross-validation Confidence Intervals for Test Error NIPS 2020
Unbalanced Sobolev Descent NIPS 2020
Robustness of Community Detection to Random Geometric Perturbations NIPS 2020
Kernel Conditional Moment Test via Maximum Moment Restriction UAI 2020