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Statistical Learning

4076 directly classified papers

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Papers

A Case of Exponential Convergence Rates for SVM AISTATS 2023
Uncertainty Modeling in Generative Compressed Sensing ICML 2022
Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022
On Linear Model with Markov Signal Priors AISTATS 2022
Identity Testing of Reversible Markov Chains AISTATS 2022
Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022
Spectral risk-based learning using unbounded losses AISTATS 2022
Density Ratio Estimation via Infinitesimal Classification AISTATS 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation AISTATS 2022
Differentially Private Regression with Unbounded Covariates AISTATS 2022
Pairwise Fairness for Ordinal Regression AISTATS 2022
Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022
Multi-class classification in nonparametric active learning AISTATS 2022
Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity 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
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