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Methodology
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Machine Learning
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Online Learning
1012 directly classified papers
Papers per year
2001: 2
2002: 3
2003: 2
2004: 1
2005: 1
2006: 13
2007: 11
2008: 12
2009: 17
2010: 21
2011: 36
2012: 38
2013: 63
2014: 59
2015: 30
2016: 26
2017: 42
2018: 51
2019: 59
2020: 79
2021: 86
2022: 107
2023: 93
2024: 124
2025: 36
Papers
Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback
AAAI 2021
Doubly Robust Thompson Sampling with Linear Payoffs
NIPS 2021
Network Inference and Influence Maximization from Samples
ICML 2021
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
ICML 2021
Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks
JMLR 2021
Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters
NIPS 2021
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
ICML 2021
Parametric Graph for Unimodal Ranking Bandit
ICML 2021
Learning to Price Against a Moving Target
ICML 2021
Confidence-Budget Matching for Sequential Budgeted Learning
ICML 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
L4DC 2021
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs
L4DC 2021
Context-Aware Online Collective Inference for Templated Graphical Models
ICML 2021
Robust Learning-Augmented Caching: An Experimental Study
ICML 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
ICML 2021
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games
ICML 2021
An Online Sequential Test for Qualitative Treatment Effects
JMLR 2021
Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract)
AAAI 2021
Reinforcement Learning with Trajectory Feedback
AAAI 2021
Online Control of Unknown Time-Varying Dynamical Systems
NIPS 2021
Dynamic Balancing for Model Selection in Bandits and RL
ICML 2021
Model Selection in Contextual Stochastic Bandit Problems
NIPS 2020
Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract)
IJCAI 2020
Online Learning in Changing Environments
IJCAI 2020
Multi-Feedback Bandit Learning with Probabilistic Contexts
IJCAI 2020
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