Calvin Tsay
9 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (17)
π
Cross-Pollinator
(13)
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
Conferences
NIPS (5)
ICML (2)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
mixed-integer optimization
(2)
black-box optimization
(2)
bayesian optimization
(2)
gaussian process
(1)
optimal control
(1)
value iteration
(1)
sequential optimization
(1)
asynchronous optimization
(1)
regret bound
(1)
black-box function
(1)
acquisition function
(1)
convex hull
(1)
surrogate model
(1)
graph isomorphism
(1)
transition constraint
(1)
molecular design
(1)
mixed-integer programming
(1)
gradient-boosted tree
(1)
relu neural network
(1)
optimization problem
(1)
Papers
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
AISTATS 2025
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
ICML 2025
Certification for Differentially Private Prediction in Gradient-Based Training
ICML 2025
Transition Constrained Bayesian Optimization via Markov Decision Processes
NIPS 2024
Optimizing over trained GNNs via symmetry breaking
NIPS 2023
OMLT: Optimization & Machine Learning Toolkit
JMLR 2022
SnAKe: Bayesian Optimization with Pathwise Exploration
NIPS 2022
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
NIPS 2022
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
NIPS 2021