Nimit Sharad Sohoni

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 19

Top Topics

Technical Report

Causal Inference

Observational Data

Structured Representations

Top Venues

Publications

Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations. CoRR (2022)
Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
Monarch: Expressive Structured Matrices for Efficient and Accurate Training. ICML (2022)
Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR (2022)
Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. ICML (2022)
Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
Monarch: Expressive Structured Matrices for Efficient and Accurate Training. CoRR (2022)
Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
Mandoline: Model Evaluation under Distribution Shift. ICML (2021)
Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré
Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) (2021)
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. ICCV (2021)
Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
Mandoline: Model Evaluation under Distribution Shift. CoRR (2021)
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. CoRR (2021)
Nimit Sharad Sohoni, Jared Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. NeurIPS (2020)
Nimit Sharad Sohoni, Jared A. Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. CoRR (2020)
Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond. COLT (2020)
Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS (2020)
Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. CoRR (2020)
Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. ICLR (2020)
Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR (2020)
Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond. CoRR (2019)
Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré
Low-Memory Neural Network Training: A Technical Report. CoRR (2019)