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risk bound

71 papers

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Co-occurring keywords

learning theory (519) statistical learning (351) rademacher complexity (109) excess risk (66) generalization bound (652) empirical risk minimization (352) ensemble learning (1274) pac-bayes bound (53) linear regression (282) statistical learning theory (82)

Papers

SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL IJCAI 2025
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024
Minimax Linear Regression under the Quantile Risk COLT 2024
Credal Learning Theory NIPS 2024
Minimum-Risk Recalibration of Classifiers NIPS 2023
Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2023
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023
Tight Risk Bounds for Gradient Descent on Separable Data NIPS 2023
Local Risk Bounds for Statistical Aggregation COLT 2023
Risk Bounds on Aleatoric Uncertainty Recovery AISTATS 2023
Benign Overfitting in Adversarially Robust Linear Classification UAI 2023
Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression ICML 2022
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means NIPS 2022
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NIPS 2022
Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models AAAI 2022
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach NIPS 2022
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs JMLR 2021
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$ NIPS 2021
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NIPS 2021
Analyzing the tree-layer structure of Deep Forests ICML 2021
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures NIPS 2021