Sebastian Tay

According to our database1, Sebastian Tay authored at least 6 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Bayesian Optimization with Cost-varying Variable Subsets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Batch Bayesian Optimization For Replicable Experimental Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity.
Proceedings of the International Conference on Machine Learning, 2022

Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Top-k Ranking Bayesian Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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