Calvin Tsay
10 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Bronze π₯ Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(7)
Mathematics & Optimization
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Optimization
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Reinforcement Learning
(2)
Core AI
(2)
Deep Learning
(1)
Healthcare & Medicine
(1)
Security & Privacy
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Keywords
bayesian optimization
(5)
gaussian process
(3)
black-box optimization
(3)
acquisition function
(3)
mixed integer programming
(2)
reinforcement learning
(2)
regret bound
(2)
mixed-integer optimization
(2)
differential privacy
(2)
machine unlearning
(1)
value iteration
(1)
neural architecture search
(1)
sequential optimization
(1)
convex relaxation
(1)
optimal control
(1)
black-box function
(1)
tree ensemble
(1)
asynchronous optimization
(1)
markov decision process
(1)
data poisoning
(1)
Papers
Abstract Gradient Training: A Unified Certification Framework for Data Poisoning, Unlearning, and Differential Privacy
JMLR 2026
Certification for Differentially Private Prediction in Gradient-Based Training
ICML 2025
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
ICML 2025
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
AISTATS 2025
Transition Constrained Bayesian Optimization via Markov Decision Processes
NeurIPS 2024
Optimizing over trained GNNs via symmetry breaking
NeurIPS 2023
OMLT: Optimization & Machine Learning Toolkit
JMLR 2022
SnAKe: Bayesian Optimization with Pathwise Exploration
NeurIPS 2022
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
NeurIPS 2022
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
NeurIPS 2021