Sharma, Shubham

9 publications

TMLR 2025 Interpretable LLM-Based Table Question Answering Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lecue

NeurIPS 2024 Fair Wasserstein Coresets Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lecue, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

NeurIPS 2024 RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lecue, Chun-Fu Chen

AAAI 2024 SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan

IJCAI 2023 FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma, Jette Henderson, Joydeep Ghosh

NeurIPS 2022 When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan

AAAI 2021 Symmetric Component Caching for Model Counting on Combinatorial Instances Timothy van Bremen, Vincent Derkinderen, Shubham Sharma, Subhajit Roy, Kuldeep S. Meel

IJCAI 2020 Certifai: A Toolkit for Building Trust in AI Systems Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh

IJCAI 2019 GANAK: A Scalable Probabilistic Exact Model Counter Shubham Sharma, Subhajit Roy, Mate Soos, Kuldeep S. Meel