Chao-Kai Chiang
11 papers · 2012–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(13)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
📈
Trend Setter
💎
Century Club
(11)
Conferences
COLT (3)
AISTATS (2)
NIPS (2)
AAAI (1)
ACML (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
regret bound
(4)
multi-armed bandit
(3)
noninformative prior
(2)
thompson sampling
(2)
convex loss function
(2)
online convex optimization
(2)
stochastic bandit
(2)
sequential decision making
(1)
bayesian inference
(1)
online learning
(1)
gradient descent
(1)
strongly convex
(1)
bayesian optimization
(1)
regret minimization
(1)
bayesian learning
(1)
multi-objective optimization
(1)
hyperparameter tuning
(1)
sample complexity
(1)
human feedback
(1)
optimal regret
(1)
Papers
Domain Adaptation and Entanglement: an Optimal Transport Perspective
AISTATS 2025
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
AAAI 2024
Imitation Learning from Vague Feedback
NIPS 2023
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
ICML 2023
Hyper-parameter Tuning under a Budget Constraint
IJCAI 2019
Federated Multi-Task Learning
NIPS 2017
Pareto Front Identification from Stochastic Bandit Feedback
AISTATS 2016
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits
COLT 2016
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions
ACML 2014
Beating Bandits in Gradually Evolving Worlds
COLT 2013
Online Optimization with Gradual Variations
COLT 2012