Alon Cohen
23 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(11)
π€
Dynamic Duo
(15)
π
Keyword Champion
(2)
π
Trend Setter
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
ποΈ
Keyword Collector
(97)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(19)
Optimization & Theory
(18)
Mathematics & Optimization
(16)
Optimization
(15)
Reinforcement Learning
(9)
Learning Types
(8)
Methods
(8)
Artificial Intelligence
(4)
Applications
(4)
Core AI
(4)
Robotics
(2)
Systems
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Application Areas
(1)
Keywords
regret bound
(11)
online learning
(6)
reinforcement learning
(4)
bandit feedback
(4)
stochastic optimization
(4)
regret minimization
(4)
markov decision process
(3)
optimal policy
(3)
frank-wolfe algorithm
(2)
multi-armed bandit
(2)
contextual mdp
(2)
minimax regret
(2)
policy optimization
(2)
online algorithm
(2)
linear quadratic regulator
(2)
multi-class classification
(2)
apprenticeship learning
(2)
sample complexity
(2)
stochastic shortest path
(2)
rate optimal
(2)
Papers
The Sample Complexity of Multiclass and Sparse Contextual Bandits
COLT 2026
Locally Optimal Descent for Dynamic Stepsize Scheduling
AISTATS 2025
Eluder-based Regret for Stochastic Contextual MDPs
ICML 2024
Fast Rates for Bandit PAC Multiclass Classification
NeurIPS 2024
Rate-Optimal Policy Optimization for Linear Markov Decision Processes
ICML 2024
The Real Price of Bandit Information in Multiclass Classification
COLT 2024
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
ICML 2023
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics
COLT 2022
Asynchronous Stochastic Optimization Robust to Arbitrary Delays
NeurIPS 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
NAACL 2021
Minimax Regret for Stochastic Shortest Path
NeurIPS 2021
Online Markov Decision Processes with Aggregate Bandit Feedback
COLT 2021
Apprenticeship Learning via Frank-Wolfe
AAAI 2020
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
ICML 2020
Near-optimal Regret Bounds for Stochastic Shortest Path
ICML 2020
Unknown mixing times in apprenticeship and reinforcement learning
UAI 2020
Learning Linear-Quadratic Regulators Efficiently with only βT Regret
ICML 2019
Learning to Screen
NeurIPS 2019
Online Linear Quadratic Control
ICML 2018
Planning and Learning with Stochastic Action Sets
IJCAI 2018
Tight Bounds for Bandit Combinatorial Optimization
COLT 2017
Online Learning with Feedback Graphs Without the Graphs
ICML 2016
Following the Perturbed Leader for Online Structured Learning
ICML 2015