Assaf Zeevi
13 papers · 2014–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(10)
Mathematics & Optimization
(9)
Optimization
(9)
Learning Types
(7)
Artificial Intelligence
(4)
Core Methods
(3)
Reinforcement Learning
(2)
Bayesian & Probabilistic
(2)
Methods Β· Reinforcement Learning
(2)
Data Science & Analytics
(1)
Core AI
(1)
Learning Paradigms
(1)
Methods Β· Data Science & Analytics
(1)
Keywords
regret bound
(7)
multi-armed bandit
(5)
online learning
(4)
regret minimization
(3)
sublinear regret
(2)
stochastic optimization
(2)
contextual bandit
(2)
stochastic bandit
(2)
linear bandit
(2)
sample complexity
(1)
dynamic programming
(1)
sparse regression
(1)
exploration exploitation
(1)
sequential learning
(1)
function approximation
(1)
markov decision process
(1)
feature selection
(1)
bayesian posterior
(1)
multinomial logit
(1)
time series prediction
(1)
Papers
Learning the Pareto Front Using Bootstrapped Observation Samples
AISTATS 2025
Linear Bandits with Partially Observable Features
ICML 2025
A Doubly Robust Approach to Sparse Reinforcement Learning
AISTATS 2024
Bayesian Design Principles for Frequentist Sequential Learning
ICML 2023
Complexity Analysis of a Countable-armed Bandit Problem
ALT 2023
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
ICML 2023
Last Switch Dependent Bandits with Monotone Payoff Functions
ICML 2023
Learning to Stop with Surprisingly Few Samples
COLT 2021
Sparsity-Agnostic Lasso Bandit
ICML 2021
A General Approach to Multi-Armed Bandits Under Risk Criteria
COLT 2018
Thompson Sampling for the MNL-Bandit
COLT 2017
Online Time Series Prediction with Missing Data
ICML 2015
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
NeurIPS 2014