Bhatt, Umang

19 publications

ICLRW 2025 Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems Matthew Barker, Andrew Bell, Evan Thomas, James Carr, Thomas Andrews, Umang Bhatt

AAAI 2025 Learning Personalized Decision Support Policies Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar

ICLRW 2025 Representational Alignment Supports Effective Teaching Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore Sumers, Michalis Korakakis, Umang Bhatt, Mark K Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary Pardos, Adrian Weller, Thomas L. Griffiths

ICLRW 2024 Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Iain Campbell, Michael Y. Hu, Umang Bhatt, Brenden Lake, Thomas L. Griffiths

NeurIPS 2024 Large Language Models Must Be Taught to Know What They Don’t Know Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson

NeurIPSW 2024 Modulating Language Model Experiences Through Frictions Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt

AAAI 2023 Approximating Full Conformal Prediction at Scale via Influence Functions Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin

ICLRW 2023 GeValDi: Generative Validation of Discriminative Models Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt

UAI 2023 Human-in-the-Loop Mixup Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley Love, Adrian Weller

AISTATS 2023 Iterative Teaching by Data Hallucination Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf

UAI 2023 On the Informativeness of Supervision Signals Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths

AAAI 2023 Towards Robust Metrics for Concept Representation Evaluation Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik

AAAI 2022 Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates Dan Ley, Umang Bhatt, Adrian Weller

AAAI 2022 On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf

IJCAI 2022 On the Utility of Prediction Sets in Human-AI Teams Varun Babbar, Umang Bhatt, Adrian Weller

AAAI 2021 FIMAP: Feature Importance by Minimal Adversarial Perturbation Matt Chapman-Rounds, Umang Bhatt, Erik Pazos, Marc-Andre Schulz, Konstantinos Georgatzis

ICLR 2021 Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antoran, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato

IJCAI 2020 Evaluating and Aggregating Feature-Based Model Explanations Umang Bhatt, Adrian Weller, José M. F. Moura

AAAI 2019 Building Human-Machine Trust via Interpretability Umang Bhatt, Pradeep Ravikumar, José M. F. Moura