Safe Online Convex Optimization with Unknown Linear Safety Constraints. - Sapana Chaudhary; Dileep M. Kalathil (AAAI, 2022)

Smooth Imitation Learning via Smooth Costs and Smooth Policies. - Sapana Chaudhary; Balaraman Ravindran (COMAD/CODS, 2022)

Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments. - Desik Rengarajan; Sapana Chaudhary; Jaewon Kim; Dileep Kalathil; Srinivas Shakkottai (NeurIPS, 2022)

Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments. - Desik Rengarajan; Sapana Chaudhary; Jaewon Kim; Dileep Kalathil; Srinivas Shakkottai (CoRR, 2022)

On Adaptivity and Safety in Sequential Decision Making. - Sapana Chaudhary (IJCAI, 2023)

Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. - Ting-Jui Chang; Sapana Chaudhary; Dileep Kalathil; Shahin Shahrampour (Trans. Mach. Learn. Res., 2023)

Pedagogical Alignment of Large Language Models. - Shashank Sonkar; Kangqi Ni; Sapana Chaudhary; Richard G. Baraniuk (EMNLP (Findings), 2024)

Risk-Averse Fine-tuning of Large Language Models. - Sapana Chaudhary; Ujwal Dinesha; Dileep Kalathil; Srinivas Shakkottai (NeurIPS, 2024)

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. - Ke Yang 003; Yao Liu 009; Sapana Chaudhary; Rasool Fakoor; Pratik Chaudhari; George Karypis; Huzefa Rangwala (ICLR, 2025)

Risk-Averse Finetuning of Large Language Models. - Sapana Chaudhary; Ujwal Dinesha; Dileep Kalathil; Srinivas Shakkottai (CoRR, 2025)

Teaching Large Language Models to Reason through Learning and Forgetting. - Tianwei Ni; Allen Nie; Sapana Chaudhary; Yao Liu 009; Huzefa Rangwala; Rasool Fakoor (CoRR, 2025)