Louis C. Tiao - RankMe

12 papers A* 4Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empirical Gaussian Processes. CoRR Jihao Andreas Lin, Sebastian Ament, Louis C. Tiao, David Eriksson, Maximilian Balandat, Eytan Bakshy
2025	—	`conf`	Ax: A Platform for Adaptive Experimentation. AutoML Miles Olson, Elizabeth Santorella, Louis C. Tiao, Sait Cakmak, Mia Garrard, Samuel Daulton, Zhiyuan Jerry Lin, Sebastian Ament, Bernard Beckerman, Eric Onofrey, Paschal Igusti, Cristian Lara, Benjamin Letham, Cesar Cardoso, Shiyun Sunny Shen, Andy Chenyuan Lin, Matthew Grange, Elena Kashtelyan, David Eriksson, Maximilian Balandat, Eytan Bakshy
2023	A*	`conf`	Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes. ICML Louis C. Tiao, Vincent Dutordoir, Victor Picheny
2023	J	`jnl`	Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes. CoRR Louis C. Tiao, Vincent Dutordoir, Victor Picheny
2022	A*	`conf`	Batch Bayesian optimisation via density-ratio estimation with guarantees. NeurIPS Rafael Oliveira, Louis C. Tiao, Fabio T. Ramos
2022	J	`jnl`	Batch Bayesian optimisation via density-ratio estimation with guarantees. CoRR Rafael Oliveira, Louis C. Tiao, Fabio Ramos
2021	A*	`conf`	BORE: Bayesian Optimization by Density-Ratio Estimation. ICML Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos
2021	J	`jnl`	BORE: Bayesian Optimization by Density-Ratio Estimation. CoRR Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos
2020	J	`jnl`	Model-based Asynchronous Hyperparameter Optimization. CoRR Louis C. Tiao, Aaron Klein, Cédric Archambeau, Matthias W. Seeger
2020	A*	`conf`	Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings. NeurIPS Pantelis Elinas, Edwin V. Bonilla, Louis C. Tiao
2019	J	`jnl`	Variational Spectral Graph Convolutional Networks. CoRR Louis C. Tiao, Pantelis Elinas, Harrison Nguyen, Edwin V. Bonilla
2018	J	`jnl`	Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference. CoRR Louis C. Tiao, Edwin V. Bonilla, Fabio Ramos