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Assistant Professor, University of Wisconsin CS
fredsala@cs.wisc.edu
I study the fundamentals of data-driven systems and machine learning. I am especially interested in data- and compute-efficient systems. Much of my current work focuses on foundation models, automated machine learning, and learning with limited data. I have a research role at Snorkel AI, where we are building a data-first approach to AI. Previously, I was a postdoc in Stanford CS, associated with the Hazy group. I completed my Ph.D. in electrical engineering at UCLA, where I worked with the LORIS and StarAI groups. Bio | CV | Google Scholar | Twitter | Publications | Awards |
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Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala Neural Information Processing Systems (NeurIPS), 2024 (Spotlight) arXiv Harit Vishwakarma, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak Neural Information Processing Systems (NeurIPS), 2024 arXiv Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala Neural Information Processing Systems (NeurIPS), 2024 arXiv Tianyi Zhang, Linrong Cai, Jeffrey Li, Nicholas Roberts, Neel Guha, Frederic Sala Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track), 2024 Daniel Silva, Frederic Sala, Ryan Gabrys Empirical Methods in Natural Language Processing (EMNLP) Findings, 2024 Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala International Conference on Learning Representations (ICLR), 2024 OpenReview | arXiv | code | blog Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala Preprint, 2024 arXiv Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala Preprint, 2024 arXiv Daniel McNeela, Frederic Sala, Anthony Gitter Preprint, 2024 arXiv Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang Conference on Parsimony and Learning (CPAL) , 2023 (Oral) arXiv Srinath Namburi, Makesh Narsimhan Sreedhar, Srinath Srinivasan, Frederic Sala Empirical Methods in Natural Language Processing (EMNLP) Findings, 2023 paper Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala Neural Information Processing Systems (NeurIPS), 2023 arXiv Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak Neural Information Processing Systems (NeurIPS), 2023 (Spotlight) arXiv Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala Neural Information Processing Systems (NeurIPS), 2023 arXiv Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala Neural Information Processing Systems (NeurIPS), 2023 paper Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré Neural Information Processing Systems (NeurIPS), 2023 (Spotlight) arXiv Neel Guha, Mayee F Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré Neural Information Processing Systems (NeurIPS), 2023 arXiv Sonia Cromp, Mark Bilinski, Ryan Gabrys, Frederic Sala Conference on Decision and Game Theory for Security (GameSec-23), 2023 paper Benedikt Boecking, Willie Neiswanger, Nicholas Roberts, Stefano Ermon, Frederic Sala, Artur Dubrawski International Conference on Learning Representations (ICLR), 2023 arXiv | OpenReview Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré International Conference on Learning Representations (ICLR), 2023 arXiv | OpenReview Mayee F. Chen, Benjamin Nachman, Frederic Sala Journal of High Energy Physics, 2023 paper Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala NeurIPS Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models (R0-FoMo), 2023 (oral) paper Harit Vishwakarma, Frederic Sala, Ramya Vinayak NeurIPS Workshop on Adaptive Experimental Design and Active Learning in the Real World (RealML-2023), 2023 Tzu-Heng Huang, Changho Shin, Sui Jiet Tay, Dyah Adila, Frederic Sala ICCV Workshop: Towards the Next Generation of Computer Vision Datasets (TNGCV), 2023 paper Daniel McNeela, Frederic Sala, Anthony Gitter ICML Workshop for Computational Biology, 2023 Tzu-Heng Huang, Catherine Cao, Spencer Schoenberg, Harit Vishwakarma, Nicholas Roberts, Frederic Sala Deep Learning for Code (DL4C) Workshop at ICLR, 2023 preprint Ruochen Yang, Frederic Sala, Paul Bogdan Learning on Graphs (LOG), 2022 paper Harit Vishwakarma, Nicholas Roberts, Frederic Sala Neural Information Processing Systems (NeurIPS), 2022 arXiv | OpenReview | code Nicholas Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track), 2022 arXiv | OpenReview | code Renbo Tu, Nicholas Roberts, Mikhail Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track), 2022 arXiv | OpenReview | code Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, and Christopher Ré Uncertainty in Artificial Intelligence (UAI), 2022 (oral) arXiv Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Roberts, Frederic Sala International Conference on Learning Representations (ICLR), 2022 arXiv | OpenReview | code Mayee Chen, Benjamin Nachman, Frederic Sala NeurIPS Workshop on Machine Learning and the Physical Sciences (ML4PS), 2022 paper Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang NeurIPS Workshop on Workshop on Distribution Shifts (DistShift) , 2022 OpenReview Renbo Tu, Nicholas Roberts, Vishak Prasad, Sibasis Nayak, Paarth Jain, Frederic Sala, Ganesh Ramakrishnan, Ameet Talwalkar, Willie Neiswanger, Colin White NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, 2022 arXiv Dyah Adila, Sonia Cromp, Sicheng Mo, Frederic Sala ICML Workshop on Spurious Correlations, Invariance, and Stability, 2022 paper | code Mayee F. Chen, Ben Cohen-Wang, Steve Mussmann, Frederic Sala, Christopher Ré International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 arXiv Sarah Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis Langlotz, Christopher Ré International Conference on Learning Representations (ICLR), 2021 paper Ruochen Yang, Frederic Sala, Paul Bogdan Communications Physics, 2021 paper Daniel Y. Fu*, Mayee F. Chen*, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré International Conference on Machine Learning (ICML), 2020 arXiv | code | video | blog Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo Cordova-Palomera, Jared Dunnmon, James Priest, Christopher Ré International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 arXiv | tutorial | video Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré. Annual Conference of the Association for Computational Linguistics (ACL), 2020 arXiv | code | video Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré Preprint, 2020 arXiv | code | video Frederic Sala*, Paroma Varma*, Shiori Sagawa, Jason Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré. Neural Information Processing Systems (NeurIPS), 2019 paper Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré International Conference on Learning Representations (ICLR), 2019 paper | code | blog Paroma Varma*, Frederic Sala*, Ann He, Alexander Ratner, Christopher Ré International Conference on Machine Learning (ICML), 2019 arXiv | code Alexander J. Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré AAAI Conference on Artificial Intelligence, 2019 arXiv | code Clayton Schoeny, Frederic Sala, Mark Gottscho, Irina Alam, Puneet Gupta, Lara Dolecek IEEE Transactions on Information Theory, 2019 paper Ryan Gabrys and Frederic Sala IEEE Transactions on Information Theory, 2019 arXiv older |
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