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Online Learning

1,084 papers

Papers per year

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23
36
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Papers

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback UAI 2019
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests UAI 2019
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits UAI 2019
Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019
On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits UAI 2019
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms NIPS 2018
Learning in Games with Lossy Feedback NIPS 2018
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward NIPS 2018
Factored Bandits NIPS 2018
Adaptation to Easy Data in Prediction with Limited Advice NIPS 2018
Generalized Inverse Optimization through Online Learning NIPS 2018
On preserving non-discrimination when combining expert advice NIPS 2018
Learning from discriminative feature feedback NIPS 2018
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NIPS 2018
Contextual Pricing for Lipschitz Buyers NIPS 2018
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint NIPS 2018
Improving Online Algorithms via ML Predictions NIPS 2018
Horizon-Independent Minimax Linear Regression NIPS 2018
Policy Regret in Repeated Games NIPS 2018
Efficient Online Portfolio with Logarithmic Regret NIPS 2018
Learning Optimal Reserve Price against Non-myopic Bidders NIPS 2018
Online Reciprocal Recommendation with Theoretical Performance Guarantees NIPS 2018
Online convex optimization for cumulative constraints NIPS 2018
Adaptive Learning with Unknown Information Flows NIPS 2018
Differential Privacy for Growing Databases NIPS 2018