Tsay, Calvin

14 publications

ICML 2025 Certification for Differentially Private Prediction in Gradient-Based Training Matthew Robert Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Mueller, Yves-Alexandre De Montjoye, Adrian Weller, Calvin Tsay

TMLR 2025 Certified Robustness to Data Poisoning in Gradient-Based Training Philip Sosnin, Mark Niklas Mueller, Maximilian Baader, Calvin Tsay, Matthew Robert Wicker

ICML 2025 EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization Mujin Cheon, Jay H Lee, Dong-Yeun Koh, Calvin Tsay

AISTATS 2025 Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation Yilin Xie, Shiqiang Zhang, Joel Paulson, Calvin Tsay

ICLRW 2025 Molecular Design Using Graph Bayesian Optimization with Shortest-Path Kernels Yilin Xie, Shiqiang Zhang, Jixiang Qing, Ruth Misener, Calvin Tsay

TMLR 2025 System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization Jixiang Qing, Rebecca D. Langdon, Robert Matthew Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener

NeurIPS 2025 The Catechol Benchmark: Time-Series Solvent Selection Data for Few-Shot Machine Learning Toby Boyne, Juan S Campos, Rebecca D. Langdon, Jixiang Qing, Yilin Xie, Shiqiang Zhang, Calvin Tsay, Ruth Misener, Daniel W. Davies, Kim E Jelfs, Sarah Boyall, Thomas Mark Dixon, Linden Schrecker, Jose Pablo Folch

NeurIPS 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes Jose Pablo Folch, Calvin Tsay, Robert M Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný

NeurIPS 2023 Optimizing over Trained GNNs via Symmetry Breaking Shiqiang Zhang, Juan Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener

NeurIPSW 2023 Practical Path-Based Bayesian Optimization Jose Pablo Folch, James A C Odgers, Shiqiang Zhang, Robert Matthew Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

MLOSS 2022 OMLT: Optimization & Machine Learning Toolkit Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D Laird, Ruth Misener

NeurIPS 2022 SnAKe: Bayesian Optimization with Pathwise Exploration Jose Pablo Folch, Shiqiang Zhang, Robert Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

NeurIPS 2022 Tree Ensemble Kernels for Bayesian Optimization with Known Constraints over Mixed-Feature Spaces Alexander Thebelt, Calvin Tsay, Robert Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener

NeurIPS 2021 Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener