Sebastian Shenghong Tay
4 papers · 2022–2024 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
Venues
Top co-authors
Research topics
Keywords
bayesian optimization
(3)
worst-case sensitivity
(2)
distributionally robust optimization
(2)
gaussian process
(1)
nash equilibrium
(1)
maximum mean discrepancy
(1)
thompson sampling
(1)
no-regret learning
(1)
regret bound
(1)
synthetic data
(1)
generative adversarial network
(1)
no-regret algorithm
(1)
sample-efficient learning
(1)
conditional value at risk
(1)
convex distribution distance
(1)
risk-sensitive value
(1)
reward scheme
(1)
collaborative generative modeling
(1)
sample efficiency
(1)
contextual uncertainty
(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
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
ICML 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
AAAI 2022