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regret minimization

315 papers

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Co-occurring keywords

online learning (1777) multi-armed bandit (1098) regret bound (1926) stochastic optimization (1060) game theory (854) online algorithm (445) reinforcement learning (4352) markov decision process (790) nash equilibrium (398) extensive-form game (86)

Papers

Competitive ratio vs regret minimization: achieving the best of both worlds ALT 2019
Bridging the gap between regret minimization and best arm identification, with application to A/B tests AISTATS 2019
On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA COLT 2019
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games ICML 2019
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019
Online Learning of Quantum States NIPS 2018
Variational inference for the multi-armed contextual bandit AISTATS 2018
Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback IJCAI 2018
Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018
Incentivizing Exploration by Heterogeneous Users COLT 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
Retaining Data from Streams of Social Platforms with Minimal Regret IJCAI 2017
Online Learning and Blackwell Approachability with Partial Monitoring: Optimal Convergence Rates AISTATS 2017
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017
Near-Optimal Design of Experiments via Regret Minimization ICML 2017
Regret Minimization in MDPs with Options without Prior Knowledge NIPS 2017
Efficient Regret Minimization in Non-Convex Games ICML 2017
Multi-Agent Planning with Baseline Regret Minimization IJCAI 2017
Contextual Bandits with Latent Confounders: An NMF Approach AISTATS 2017
Regret Minimization in Behaviorally-Constrained Zero-Sum Games ICML 2017
The Price of Differential Privacy for Online Learning ICML 2017
Online Decision-Making for Scalable Autonomous Systems IJCAI 2017
Thompson Sampling for the MNL-Bandit COLT 2017
Parameter-Free Convex Learning through Coin Betting AUTOML 2016