Co-occurring keywords · papers mentioning both
Papers
Discounted Adaptive Online Learning: Towards Better Regularization
ICML 2024
Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
NeurIPS 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
NeurIPS 2024
Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements
ICML 2024
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
NeurIPS 2024
Nearly Optimal Regret for Decentralized Online Convex Optimization
COLT 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
NeurIPS 2024
Online Stackelberg Optimization via Nonlinear Control
COLT 2024
Online Submodular Maximization via Online Convex Optimization
AAAI 2024
Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization
COLT 2024
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
NeurIPS 2024
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
JMLR 2024
Private Online Learning via Lazy Algorithms
NeurIPS 2024
Projection-Free Online Convex Optimization with Time-Varying Constraints
ICML 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
ICML 2024
Second Order Methods for Bandit Optimization and Control
COLT 2024
Stochastic-Constrained Stochastic Optimization with Markovian Data
JMLR 2024
Universal Online Convex Optimization with $1$ Projection per Round
NeurIPS 2024
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
NeurIPS 2023
A Computationally Efficient Sparsified Online Newton Method
NeurIPS 2023
Adaptive Regret for Control of Time-Varying Dynamics
L4DC 2023
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
NeurIPS 2023
Differentially Private and Lazy Online Convex Optimization
COLT 2023
Distributed Projection-Free Online Learning for Smooth and Convex Losses
AAAI 2023
Federated Online and Bandit Convex Optimization
ICML 2023