Doppa, Jana

8 publications

UAI 2025 Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression Hooman Shahrokhi, Devjeet Raj Roy, Yan Yan, Venera Arnaoudova, Jana Doppa

AAAI 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Jana Doppa

ICML 2025 Direct Prediction Set Minimization via Bilevel Conformal Classifier Training Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Jana Doppa, Yan Yan

TMLR 2025 Non-Myopic Multi-Objective Bayesian Optimization Syrine Belakaria, Alaleh Ahmadian, Barbara E Engelhardt, Stefano Ermon, Jana Doppa

NeurIPS 2025 Online Optimization for Offline Safe Reinforcement Learning Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Jana Doppa

ICML 2024 Learning Surrogates for Offline Black-Box Optimization via Gradient Matching Minh Hoang, Azza Fadhel, Aryan Deshwal, Jana Doppa, Trong Nghia Hoang

UAI 2023 Probabilistically Robust Conformal Prediction Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones

NeurIPS 2021 Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces Aryan Deshwal, Jana Doppa