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Anmol Kabra
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2020 – today
- 2024
- [c5]Anmol Kabra, Mina Karzand, Tosca Lechner, Nati Srebro, Serena Lutong Wang:
Score Design for Multi-Criteria Incentivization. FORC 2024: 8:1-8:22 - [i4]Anmol Kabra, Kumar Kshitij Patel:
The Limitations of Model Retraining in the Face of Performativity. CoRR abs/2408.08499 (2024) - [i3]Anmol Kabra, Mina Karzand, Tosca Lechner, Nathan Srebro, Serena Lutong Wang:
Score Design for Multi-Criteria Incentivization. CoRR abs/2410.06290 (2024) - [i2]Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco, Laura Greenstreet, Joshua Fan, Aaron Ferber, Marta Ummus, Alecsander Brito, Olivia J. Graham, Lillian R. Aoki, Drew Harvell, Alex Flecker, Carla P. Gomes:
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification. CoRR abs/2410.21480 (2024) - 2023
- [c4]Anmol Kabra, Ethan R. Elenberg:
Domain Private Transformers for Multi-Domain Dialog Systems. EMNLP (Findings) 2023: 6049-6061 - [i1]Anmol Kabra, Ethan R. Elenberg:
Domain Private Transformers. CoRR abs/2305.14208 (2023) - 2022
- [c3]Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang:
Exponential Family Model-Based Reinforcement Learning via Score Matching. NeurIPS 2022 - 2021
- [c2]Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes:
Characterizing the Loss Landscape in Non-Negative Matrix Factorization. AAAI 2021: 6768-6776
2010 – 2019
- 2019
- [c1]Anmol Kabra, Yexiang Xue, Carla P. Gomes:
CPU-accelerated principal-agent game for scalable citizen science. COMPASS 2019: 165-173
Coauthor Index
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