conftrace_

heavy-tailed distribution

98 papers

Explore in graph

Co-occurring keywords

stochastic gradient descent (1091) robust estimation (168) robust statistics (102) stochastic optimization (1060) regret bound (1926) multi-armed bandit (1098) linear regression (282) mean estimation (70) stochastic differential equation (181) sample complexity (1169)

Papers

Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023
Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023
Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption JMLR 2023
Risk-aware curriculum generation for heavy-tailed task distributions UAI 2023
Piecewise Stationary Bandits under Risk Criteria AISTATS 2023
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent NIPS 2022
Heavy-tailed Streaming Statistical Estimation AISTATS 2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence IJCAI 2022
High-probability bounds for robust stochastic Frank-Wolfe algorithm UAI 2022
Spectral risk-based learning using unbounded losses AISTATS 2022
EV-GAN: Simulation of extreme events with ReLU neural networks JMLR 2022
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data ICML 2022
Marginal Tail-Adaptive Normalizing Flows ICML 2022
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails ICML 2022
Anytime Guarantees under Heavy-Tailed Data AAAI 2022
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions NIPS 2022
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning NIPS 2022
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NIPS 2022
Optimal Mean Estimation without a Variance COLT 2022
Handling Long-tailed Feature Distribution in AdderNets NIPS 2021
Learning to Stop with Surprisingly Few Samples COLT 2021
Learning with risk-averse feedback under potentially heavy tails AISTATS 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2021
Optimal Best-Arm Identification Methods for Tail-Risk Measures NIPS 2021