CPU-accelerated principal-agent game for scalable citizen science. - Anmol Kabra; Yexiang Xue; Carla P. Gomes (COMPASS, 2019)

Characterizing the Loss Landscape in Non-Negative Matrix Factorization. - Johan Bjorck; Anmol Kabra; Kilian Q. Weinberger; Carla P. Gomes (AAAI, 2021)

Exponential Family Model-Based Reinforcement Learning via Score Matching. - Gene Li; Junbo Li 003; Anmol Kabra; Nati Srebro; Zhaoran Wang 001; Zhuoran Yang (NeurIPS, 2022)

Domain Private Transformers for Multi-Domain Dialog Systems. - Anmol Kabra; Ethan R. Elenberg (EMNLP (Findings), 2023)

Domain Private Transformers. - Anmol Kabra; Ethan R. Elenberg (CoRR, 2023)

Score Design for Multi-Criteria Incentivization. - Anmol Kabra; Mina Karzand; Tosca Lechner; Nati Srebro; Serena Wang 001 (FORC, 2024)

The Limitations of Model Retraining in the Face of Performativity. - Anmol Kabra; Kumar Kshitij Patel (CoRR, 2024)

AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification. - Brendan Hogan; Anmol Kabra; Felipe Siqueira Pacheco; Laura Greenstreet; Joshua Fan 002; Aaron M. Ferber; Marta Ummus; Alecsander Brito; Olivia J. Graham; Lillian R. Aoki; Drew Harvell; Alex Flecker; et al. (CoRR, 2024)

PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation. - Albert Gong; Kamile Stankeviciute; Chao Wan; Anmol Kabra; Raphael Thesmar; Johann Lee; Julius Klenke; Carla P. Gomes; Kilian Q. Weinberger (CoRR, 2025)