conftrace_

online convex optimization

165 papers

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Also known as

OCO

Co-occurring keywords

regret bound (1926) online learning (1777) dynamic regret (94) regret minimization (315) constraint violation (39) stochastic optimization (1060) gradient descent (1144) strongly convex (89) bandit feedback (118) learning rate (192)

Papers

Online mirror descent and dual averaging: keeping pace in the dynamic case ICML 2020
Dynamic Regret of Convex and Smooth Functions NIPS 2020
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition NIPS 2020
Better Full-Matrix Regret via Parameter-Free Online Learning NIPS 2020
Online Convex Optimization Over Erdos-Renyi Random Networks NIPS 2020
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses NIPS 2020
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization AAAI 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020
Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020
Online Convex Optimization in the Random Order Model ICML 2020
A new regret analysis for Adam-type algorithms ICML 2020
A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints JMLR 2020
Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks AISTATS 2020
Online Agnostic Boosting via Regret Minimization NIPS 2020
Lipschitz and Comparator-Norm Adaptivity in Online Learning COLT 2020
Faster Projection-free Online Learning COLT 2020
Projective Quadratic Regression for Online Learning AAAI 2020
Projection-free Distributed Online Convex Optimization with $O(\sqrtT)$ Communication Complexity ICML 2020
Provable Guarantees for Gradient-Based Meta-Learning ICML 2019
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints ICML 2019
Risk-Averse Stochastic Convex Bandit AISTATS 2019
Matrix-Free Preconditioning in Online Learning ICML 2019
Adaptive Gradient-Based Meta-Learning Methods NIPS 2019
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NIPS 2019
An Online Algorithm for Smoothed Regression and LQR Control AISTATS 2019