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Statistical Learning

4,117 papers

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Papers

Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022
Multi-class classification in nonparametric active learning AISTATS 2022
On the Assumptions of Synthetic Control Methods AISTATS 2022
Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Efficient interventional distribution learning in the PAC framework AISTATS 2022
Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022
Online Control of the False Discovery Rate under "Decision Deadlines" AISTATS 2022
Debiasing Samples from Online Learning Using Bootstrap AISTATS 2022
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity AISTATS 2022
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning AISTATS 2022
On Learning Mixture Models with Sparse Parameters AISTATS 2022
Calibration Error for Heterogeneous Treatment Effects AISTATS 2022
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise AISTATS 2022
Learning Sparse Fixed-Structure Gaussian Bayesian Networks AISTATS 2022
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds AISTATS 2022
Exact Community Recovery over Signed Graphs AISTATS 2022
On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data AISTATS 2022
Learning Pareto-Efficient Decisions with Confidence AISTATS 2022
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs AISTATS 2022
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates AISTATS 2022
Data-splitting improves statistical performance in overparameterized regimes AISTATS 2022