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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

Statistical guarantees for generative models without domination ALT 2021
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs JMLR 2021
Analyzing the tree-layer structure of Deep Forests ICML 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$ NIPS 2021
Scaling-Up Robust Gradient Descent Techniques AAAI 2021
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses AISTATS 2020
Risk Bounds for Reservoir Computing JMLR 2020
Risk Bounds for Low Cost Bipartite Ranking UAI 2020
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher NIPS 2020
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote NIPS 2020
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach NIPS 2019
Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019
Risk Contours Map for Risk Bounded Motion Planning under Perception Uncertainties RSS 2019
Theoretical Analysis of Label Distribution Learning AAAI 2019
Benefits from Superposed Hawkes Processes AISTATS 2018
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NIPS 2018
Functional Gradient Boosting based on Residual Network Perception ICML 2018
$\ell_1$-regression with Heavy-tailed Distributions NIPS 2018
On Statistical Optimality of Variational Bayes AISTATS 2018
Generalization Bounds for Uniformly Stable Algorithms NIPS 2018
Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds COLT 2017
Nonparametric Risk Bounds for Time-Series Forecasting JMLR 2017
On the properties of variational approximations of Gibbs posteriors JMLR 2016