Liad Erez

5 papers · 2021–2026 · 3 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

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver

Venues

COLT (2) NeurIPS (2) ICML (1)

Top co-authors

Tomer Koren (5) Yishay Mansour (4) Shay Moran (3) Alon Cohen (3) Uri Sherman (1) Alexander Rakhlin (1) Fan Chen (1) Tal Lancewicki (1)

Research topics

Machine Learning (4) Mathematics & Optimization (4) Optimization (4) Optimization & Theory (4) Learning Types (3) Reinforcement Learning (1) Core Methods (1) Methods (1)

Keywords

regret bound (2) sample complexity (2) multi-class classification (2) bandit feedback (2) multi-agent learning (1) agnostic learning (1) hypothesis class (1) minimax regret (1) multi-armed bandit (1) contextual bandit (1) exploration distribution (1) correlated equilibrium (1) markov game (1) sparse reward (1) bandit learning (1) frank-wolfe algorithm (1) feedback graph (1) swap regret (1) decision-estimation coefficient (1) stochastic optimization (1)

Papers

The Sample Complexity of Multiclass and Sparse Contextual Bandits COLT 2026 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 The Real Price of Bandit Information in Multiclass Classification COLT 2024 Regret Minimization and Convergence to Equilibria in General-sum Markov Games ICML 2023 Towards Best-of-All-Worlds Online Learning with Feedback Graphs NeurIPS 2021