conftrace_

concentration bound

28 papers

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Co-occurring keywords

sample complexity (1169) conditional value at risk (50) wasserstein distance (417) sub-gaussian distribution (18) risk measure (26) weighted automaton (14) stochastic bandit (98) conditional value-at-risk (28) regret bound (1926) spectral learning (31)

Papers

Forecasting Competitions with Correlated Events AAAI 2025
Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs COLT 2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023
On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization ICML 2023
A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023
A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates JMLR 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds ICML 2022
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022
Concentration of Data Encoding in Parameterized Quantum Circuits NIPS 2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NIPS 2022
Estimation of Spectral Risk Measures AAAI 2021
Sharp uniform convergence bounds through empirical centralization NIPS 2020
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions ICML 2020
Demystifying Orthogonal Monte Carlo and Beyond NIPS 2020
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NIPS 2019
Concentration of risk measures: A Wasserstein distance approach NIPS 2019
An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability AISTATS 2017
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? ICML 2017
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning JMLR 2016
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015