conftrace_

excess risk

66 papers

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Co-occurring keywords

statistical learning (351) generalization bound (652) linear regression (282) risk bound (71) benign overfitting (35) empirical risk minimization (352) learning theory (519) differential privacy (1016) convergence rate (607) stochastic gradient descent (1091)

Papers

Rademacher Complexity for Distributionally Robust Learning AAAI 2026
Understanding the Gains from Repeated Self-Distillation NIPS 2024
Faster Algorithms for User-Level Private Stochastic Convex Optimization NIPS 2024
Multiple Descent in the Multiple Random Feature Model JMLR 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks JMLR 2024
Fast Rates in Pool-Based Batch Active Learning JMLR 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions NIPS 2024
On the Efficiency of ERM in Feature Learning NIPS 2024
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024
Private Geometric Median NIPS 2024
Optimistic Rates for Multi-Task Representation Learning NIPS 2023
Deep linear networks can benignly overfit when shallow ones do JMLR 2023
Exploring Local Norms in Exp-concave Statistical Learning COLT 2023
The Implicit Bias of Benign Overfitting JMLR 2023
Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses ALT 2023
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay NIPS 2023
Sequential Counterfactual Risk Minimization ICML 2023
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023
On the Size and Approximation Error of Distilled Datasets NIPS 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means NIPS 2022
Spectral risk-based learning using unbounded losses AISTATS 2022
Characterization of Excess Risk for Locally Strongly Convex Population Risk NIPS 2022
Label differential privacy via clustering AISTATS 2022