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Statistical Learning

4,117 papers

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Papers

Agnostic Estimation for Phase Retrieval JMLR 2020
A Regularization-Based Adaptive Test for High-Dimensional GLMs JMLR 2020
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020
Asymptotic Consistency of $\alpha$-{R}ényi-Approximate Posteriors JMLR 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels JMLR 2020
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020
Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes JMLR 2020
Optimal Estimation of Sparse Topic Models JMLR 2020
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020
Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 2020
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms JMLR 2020
Significance Tests for Neural Networks JMLR 2020
Stable Regression: On the Power of Optimization over Randomization JMLR 2020
Spectral Deconfounding via Perturbed Sparse Linear Models JMLR 2020
Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information JMLR 2020
Risk Bounds for Reservoir Computing JMLR 2020
Learning Mixed Latent Tree Models JMLR 2020
Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020
Periodic Q-Learning L4DC 2020
Learning nonlinear dynamical systems from a single trajectory L4DC 2020
Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees L4DC 2020
Differentially Private Survival Function Estimation MLHC 2020