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Statistical Learning

4076 directly classified papers

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Papers

Feature selection using e-values ICML 2022
PAC-Bayesian Bounds on Rate-Efficient Classifiers ICML 2022
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics ICML 2022
Minimax M-estimation under Adversarial Contamination ICML 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022
Adaptive Gaussian Process Change Point Detection ICML 2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions ICML 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation ICML 2022
Conformal Prediction Sets with Limited False Positives ICML 2022
Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022
Online Control of the False Discovery Rate under "Decision Deadlines" AISTATS 2022
Causally motivated shortcut removal using auxiliary labels AISTATS 2022
On the Assumptions of Synthetic Control Methods AISTATS 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022
Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022
Manifold Coordinates with Physical Meaning JMLR 2022
Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence JMLR 2022
Change point localization in dependent dynamic nonparametric random dot product graphs JMLR 2022
Intrinsic Dimension Estimation Using Wasserstein Distance JMLR 2022
A Statistical Approach for Optimal Topic Model Identification JMLR 2022
Testing Whether a Learning Procedure is Calibrated JMLR 2022
Ridgeless Regression with Random Features IJCAI 2022