Sebastian Shenghong Tay
4 papers · 2022–2024 · 4 conferences · across top CS/AI conferences
Achievements
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Conferences
AAAI (1)
AISTATS (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
bayesian optimization
(2)
convex optimization
(1)
data valuation
(1)
gaussian process
(1)
nash equilibrium
(1)
maximum mean discrepancy
(1)
distributionally robust optimization
(1)
no-regret learning
(1)
regret bound
(1)
synthetic datum
(1)
generative adversarial network
(1)
no-regret algorithm
(1)
sample-efficient learning
(1)
worst-case sensitivity
(1)
convex distribution distance
(1)
risk-sensitive value
(1)
reward scheme
(1)
sample efficiency
(1)
collaborative generative modeling
(1)
Papers
A Unified Framework for Bayesian Optimization under Contextual Uncertainty
ICLR 2024
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
AISTATS 2023
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
AAAI 2022
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
ICML 2022