Socratic Learning. - Rose Yu; Paroma Varma; Dan Iter; Christopher De Sa; Christopher Ré (CoRR, 2016)

Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery. - Jingshan Zhong; Lei Tian 005; Paroma Varma; Laura Waller (IEEE Trans. Computational Imaging, 2016)

Inferring Generative Model Structure with Static Analysis. - Paroma Varma; Bryan D. He; Payal Bajaj; Nishith Khandwala; Imon Banerjee; Daniel L. Rubin; Christopher Ré (NIPS, 2017)

Flipper: A Systematic Approach to Debugging Training Sets. - Paroma Varma; Dan Iter; Christopher De Sa; Christopher Ré (HILDA@SIGMOD, 2017)

Training Classifiers with Natural Language Explanations. - Braden Hancock; Paroma Varma; Stephanie Wang; Martin Bringmann; Percy Liang; Christopher Ré (ACL (1), 2018)

Exploring the Utility of Developer Exhaust. - Jian Zhang 049; Max Lam; Stephanie Wang; Paroma Varma; Luigi Nardi; Kunle Olukotun; Christopher Ré (DEEM@SIGMOD, 2018)

Snuba: Automating Weak Supervision to Label Training Data. - Paroma Varma; Christopher Ré (Proc. VLDB Endow., 2018)

Scene Graph Prediction with Limited Labels. - Vincent S. Chen; Paroma Varma; Ranjay Krishna; Michael S. Bernstein; Christopher Ré; Li Fei-Fei 001 (ICCV Workshops, 2019)

Learning Dependency Structures for Weak Supervision Models. - Paroma Varma; Frederic Sala; Ann He; Alexander Ratner; Christopher Ré (ICML, 2019)

Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data. - Zhenzhen Weng; Paroma Varma; Alexander Masalov; Jeffrey M. Ota; Christopher Ré (IV, 2019)

Multi-Resolution Weak Supervision for Sequential Data. - Paroma Varma; Frederic Sala; Shiori Sagawa; Jason Alan Fries; Daniel Y. Fu; Saelig Khattar; Ashwini Ramamoorthy; Ke Xiao; Kayvon Fatahalian; James Priest; Christopher Ré (NeurIPS, 2019)

DEEM'22: Data Management for End-to-End Machine Learning. - Matthias Boehm 001; Paroma Varma; Doris Xin (SIGMOD Conference, 2022)

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). - Matthias Boehm 001; Madelon Hulsebos; Shreya Shankar; Paroma Varma (SIGMOD Conference Companion, 2023)