Zachary Lipton

Zach Lipton is an Assistant Professor at Carnegie Mellon University with appointments in both the Tepper School of Business and the Machine Learning Department. He is also a Jazz musician, having toured internationally as a saxophonist, bassist and composer.

Zach co-founded the start up, Trace Health; a platform for patients to access, understand, and use their electronic medical record information. Formerly, Zach was a Contributing Editor for KD Nuggets; providing analysis on recent developments in machine learning and artificial intelligence.

Education

• University of California, San Diego - Ph D (Computer Science) - 2017
• University of California, San Diego - MS (Computer Science) - 2015
• Columbia University - BA (Economics-Mathematics) - 2007

Research

Machine Learning Algorithms, Machine Learning for Healthcare, Empirical Deep Learning, Foundations of Deep Learning, Natural Language Processing, Social and Economic Impacts of Machine Learning, Reinforcement Learning, Robustness to Distribution Shift, and Causal Inference and Discovery (recently).

Publications

• Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton. Combating Adversarial Misspellings with Robust Word Recognition. - Association for Computational Linguistics (ACL), 2019
• Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton. Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment. - International Conference on Machine Learning (ICML), 2019
• Jonathon Byrd, Zachary C. Lipton. What is the Effect of Importance Weighting in Deep Learning? - International Conference on Machine Learning (ICML), 2019
• Zachary C. Lipton, Jacob Steinhardt. Troubling Trends in Machine Learning Scholarship. - Communications of the ACM, June 2019
• Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian McAuley, Zachary C. Lipton. Embryo Staging with Weakly-supervised Region Selection and Dynamically-Decoded Predictions. - Machine Learning for Healthcare (MLHC), 2019
• Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, and Zachary C. Lipton. AmazonQA: A Review-Based Question Answering Task. - International Joint Conference on Artificial Intelligence (IJCAI), 2019
• Haohan Wang, Zexue Hu, Zachary C. Lipton, Eric Xing. Learning Robust Representations by Projecting Superficial Statistics Out. - International Conference on Learning Representations (ICLR), 2019, Oral Presentation (top 2% of papers)
• Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan. Active Learning with Partial Feedback. - International Conference on Learning Representations (ICLR), 2019
• Zachary C. Lipton. The Mythos of Model Interpretability. - Communications of the ACM, October 2018
• Zachary C. Lipton, Alexandra Chouldechova, Julian McAuley. Does Mitigating ML’s Impact Disparity Require Treatment Disparity? - Advances in Neural Information Processing (NeurIPS) 2018