← Authors

Zixin Zhong

8 papers · 2019–2024 · 4 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (16) πŸ† Keyword Champion (2)

Conferences

ICML (4) JMLR (2) AISTATS (1) NIPS (1)

Top co-authors

Vincent Y. F. Tan (4) Wang Chi Cheung (3) Vincent Tan (3) Yunlong Hou (2) Junwen Yang (1) Csaba SzepesvΓ‘ri (1) Alekh Agarwal (1) Jincheng Mei (1) Bo Dai (1) Wang Chi Chueng (1)

Research topics

Optimization (1)

Keywords

best arm identification (3) online learning (3) cascading bandit (3) multi-armed bandit (3) regret bound (2) partial feedback (2) sample complexity (2) thompson sampling (2) risk-aware learning (1) bandit feedback (1) sequential testing (1) bayesian optimization (1) concentration inequality (1) minimax optimal (1) adaptive algorithm (1) adversarial corruption (1) combinatorial semi-bandit (1) recommender system (1) information-theoretic lower bound (1) online recommendation (1)

Papers

Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits NIPS 2024
Optimal Clustering with Bandit Feedback JMLR 2024
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023
Stochastic Gradient Succeeds for Bandits ICML 2023
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions ICML 2021
Thompson Sampling Algorithms for Cascading Bandits JMLR 2021
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting ICML 2020
A Thompson Sampling Algorithm for Cascading Bandits AISTATS 2019