← Optimization & Theory
Machine Learning › Optimization & Theory ›

Statistical Learning

4076 directly classified papers

Papers per year

Papers

Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NIPS 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems NIPS 2022
An Item Response Theory Framework for Persuasion NAACL 2022
Non-parametric Inference Adaptive to Intrinsic Dimension CLEAR 2022
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations CLEAR 2022
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning AISTATS 2022
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data ACML 2022
Stability of SGD: Tightness analysis and improved bounds UAI 2022
Modeling extremes with $d$-max-decreasing neural networks UAI 2022
Mitigating statistical bias within differentially private synthetic data UAI 2022
Toward Instance-Optimal State Certification With Incoherent Measurements COLT 2022
Optimal Mean Estimation without a Variance COLT 2022
Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022
Differential privacy and robust statistics in high dimensions COLT 2022
Strong Gaussian Approximation for the Sum of Random Vectors COLT 2022
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning COLT 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022
Mean-field nonparametric estimation of interacting particle systems COLT 2022
EM’s Convergence in Gaussian Latent Tree Models COLT 2022
Learning GMMs with Nearly Optimal Robustness Guarantees COLT 2022
Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo COLT 2022
Realizable Learning is All You Need COLT 2022
On the well-spread property and its relation to linear regression COLT 2022
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality AISTATS 2022
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models COLT 2022