conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Statistical Learning

4,076 papers

Papers per year

Papers

Incorporating tone in the calculation of phonotactic probability ACL 2021
Ensembling With a Fixed Parameter Budget: When Does It Help and Why? ACML 2021
Regression Discontinuity Design under Self-selection AISTATS 2021
False Discovery Rates in Biological Networks AISTATS 2021
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification AISTATS 2021
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021
The Sample Complexity of Level Set Approximation AISTATS 2021
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation AISTATS 2021
On the Generalization Properties of Adversarial Training AISTATS 2021
Adversarially Robust Estimate and Risk Analysis in Linear Regression AISTATS 2021
Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021
On the Role of Data in PAC-Bayes Bounds AISTATS 2021
Bandit algorithms: Letting go of logarithmic regret for statistical robustness AISTATS 2021
Kernel regression in high dimensions: Refined analysis beyond double descent AISTATS 2021
Nonparametric Variable Screening with Optimal Decision Stumps AISTATS 2021
A constrained risk inequality for general losses AISTATS 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network AISTATS 2021
The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers AISTATS 2021
On Learning Continuous Pairwise Markov Random Fields AISTATS 2021
Goodness-of-Fit Test for Mismatched Self-Exciting Processes AISTATS 2021
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression AISTATS 2021
On the Privacy Properties of GAN-generated Samples AISTATS 2021
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers AISTATS 2021
Iterative regularization for convex regularizers AISTATS 2021
CONTRA: Contrarian statistics for controlled variable selection AISTATS 2021