Niladri S. Chatterji

Joined

February 2019

Names

Niladri S. Chatterji (Preferred)

Niladri Shekhar Chatterji

Emails

****@berkeley.edu (Confirmed)

****@cs.stanford.edu (Confirmed)

Personal Links

DBLP

Career & Education History

Postdoc

Stanford University (stanford.edu)

2021 – 2023

PhD student

University of California Berkeley (berkeley.edu)

2015 – 2021

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence
Qizhen Zhang, Ankush Garg, Jakob Nicolaus Foerster, Niladri S. Chatterji, Kshitiz Malik, Mike Lewis
- ICLR 2026 Workshop DATA-FM
- Readers: Everyone
Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks
Rylan Schaeffer, Punit Singh Koura, Binh Tang, Ranjan Subramanian, Aaditya K Singh, Todor Mihaylov, Prajjwal Bhargava, Lovish Madaan, Niladri S. Chatterji, Vedanuj Goswami, Sergey Edunov, Dieuwke Hupkes, Sanmi Koyejo, Sharan Narang
- Submitted to ICLR 2025
- Readers: Everyone
Proving Test Set Contamination in Black-Box Language Models
Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto
- ICLR 2024 oral
- Readers: Everyone
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
- Accepted by TMLR
- Readers: Everyone
Holistic Evaluation of Language Models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman et al. (30 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto
- Published: 21 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Workshop DistShift Poster
- Readers: Everyone
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto
- 16 May 2022 (modified: 08 Feb 2026)
- NeurIPS 2022 Submitted
- Readers: Everyone
Is Importance Weighting Incompatible with Interpolating Classifiers?
Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto
- Published: 02 Dec 2021, Last Modified: 04 May 2025
- NeurIPS 2021 Workshop DistShift Spotlight
- Readers: Everyone
Is Importance Weighting Incompatible with Interpolating Classifiers?
Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone

View all 15 publications

Co-Authors

View all 77 co-authors