* equal contributions Domain Private Transformers for Multi-Domain Dialog Systems Anmol Kabra, and Ethan R. Elenberg Findings-EMNLP (2023). paper bibtex poster @inproceedings{2023kabra_domain_privacy, title = {Domain Private Transformers for Multi-Domain Dialog Systems}, author = {Kabra, Anmol and Elenberg, Ethan R.}, booktitle = {Findings of the Association for Computational Linguistics: EMNLP}, conference = {Findings-EMNLP}, year = {2023}, } Exponential Family Model-Based Reinforcement Learning via Score Matching Gene Li, Junbo Li, Anmol Kabra, Nathan Srebro, Zhaoran Wang, and Zhuoran Yang NeurIPS (2022). (Oral presentation). paper bibtex code poster @inproceedings{2022li_score_matching, title = {Exponential Family Model-Based Reinforcement Learning via Score Matching}, author = {Li, Gene and Li, Junbo and Kabra, Anmol and Srebro, Nathan and Wang, Zhaoran and Yang, Zhuoran}, booktitle = {Advances in Neural Information Processing Systems}, conference = {NeurIPS}, volume = {35}, pages = {28474--28487}, year = {2022}, } Characterizing the Loss Landscape in Non-Negative Matrix Factorization Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, and Carla P. Gomes AAAI (2021). paper bibtex @inproceedings{2021bjorck_nmf, title = {Characterizing the Loss Landscape in Non-Negative Matrix Factorization}, author = {Bjorck, Johan and Kabra, Anmol and Weinberger, Kilian Q. and Gomes, Carla P.}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, conference = {AAAI}, volume = {35}, number = {8}, pages = {6768--6776}, year = {2021}, doi = {10.1609/aaai.v35i8.16836}, url = {https://doi.org/10.1609/aaai.v35i8.16836}, } GPU-Accelerated Principal-Agent Game for Scalable Citizen Science Anmol Kabra, Yexiang Xue, and Carla P. Gomes COMPASS (2019). paper bibtex code poster slides video @inproceedings{2019kabra_avicaching, author = {Kabra, Anmol and Xue, Yexiang and Gomes, Carla P.}, title = {GPU-Accelerated Principal-Agent Game for Scalable Citizen Science}, year = {2019}, isbn = {9781450367141}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3314344.3332495}, doi = {10.1145/3314344.3332495}, booktitle = {Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies}, conference = {COMPASS}, pages = {165–173}, numpages = {9}, keywords = {parallel computation, mixed-integer programming, machine learning, computational sustainability, citizen science}, location = {Accra, Ghana}, series = {COMPASS ’19}, } A Modular Approach to Optimal Hybrid Bus Allocation for TCAT Anmol Kabra*, Kenneth Fang*, and Nicholas Kaye* Cornell Mathematical Contest in Modeling (CMCM) report, Cornell University (2017). paper bibtex @unpublished{2017kabra_cmcm, author = {Kabra*, Anmol and Fang*, Kenneth and Kaye*, Nicholas}, title = {A Modular Approach to Optimal Hybrid Bus Allocation for TCAT}, note = {Cornell Mathematical Contest in Modeling (CMCM) report, Cornell University}, year = {2017}, } Solving the Avicaching Game Faster and Better Anmol Kabra, Yexiang Xue, and Carla P. Gomes Summer research project report, Cornell University (2017). paper bibtex code @unpublished{2017kabra_avicaching, author = {Kabra, Anmol and Xue, Yexiang and Gomes, Carla P.}, title = {Solving the Avicaching Game Faster and Better}, year = {2017}, note = {Summer research project report, Cornell University}, } Potential of Conversion of Waste to Energy in India Aayush*, Vaibhav Agarwal*, Anmol Kabra*, Amit Parashar*, Anshumat Srivastava*, and Ajay Kalamdhad High school research project report, IIT Guwahati (2013). paper bibtex @unpublished{2013kabra_wastetoenergy, author = {Aayush* and Agarwal*, Vaibhav and Kabra*, Anmol and Parashar*, Amit and Srivastava*, Anshumat and Kalamdhad, Ajay}, title = {Potential of Conversion of Waste to Energy in India}, note = {High school research project report, IIT Guwahati}, year = {2013}, }