Statistical Learning

On the Optimality of Misspecified Kernel Ridge Regression ICML 2023 On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions NeurIPS 2023 On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023 On the Saturation Effect of Kernel Ridge Regression ICLR 2023 On the Size and Approximation Error of Distilled Datasets NeurIPS 2023 On the Statistical Benefits of Temporal Difference Learning ICML 2023 On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity JMLR 2023 On the Variance, Admissibility, and Stability of Empirical Risk Minimization NeurIPS 2023 Open problem: log(n) factor in "Local Glivenko-Cantelli" COLT 2023 Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes COLT 2023 Optimal Activation Functions for the Random Features Regression Model ICLR 2023 Optimal and Fair Encouragement Policy Evaluation and Learning NeurIPS 2023 Optimal and Private Learning from Human Response Data AISTATS 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression NeurIPS 2023 Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments NeurIPS 2023 Optimal Learners for Realizable Regression: PAC Learning and Online Learning NeurIPS 2023 Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference ICML 2023 Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023 Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023 Optimal Parameter-Transfer Learning by Semiparametric Model Averaging JMLR 2023 Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023 Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition AISTATS 2023 Optimization and Bayes: A Trade-off for Overparameterized Neural Networks NeurIPS 2023 Optimization or Architecture: How to Hack Kalman Filtering NeurIPS 2023