Chakrabarty, Ankush

6 publications

AAAI 2025 User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah, Diego Romeres

NeurIPSW 2024 Preference-Based Multi-Objective Bayesian Optimization with Gradients Joshua Hang Sai Ip, Ankush Chakrabarty, Hideyuki Masui, Ali Mesbah, Diego Romeres

NeurIPSW 2024 Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models the Answer? Young-Jin Park, François Germain, Jing Liu, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Navid Azizan, Christopher R. Laughman, Ankush Chakrabarty

NeurIPSW 2024 TR-BEACON: Shedding Light on Efficient Behavior Discovery in High-Dimensional Spaces with Bayesian Novelty Search over Trust Regions Wei-Ting Tang, Ankush Chakrabarty, Joel Paulson

NeurIPSW 2023 Preference-Guided Bayesian Optimization for Control Policy Learning: Application to Personalized Plasma Medicine Ketong Shao, Diego Romeres, Ankush Chakrabarty, Ali Mesbah

L4DC 2022 PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-Integer Optimal Control Abhishek Cauligi, Ankush Chakrabarty, Stefano Di Cairano, Rien Quirynen