Chatterji, Niladri S.

13 publications

ICLR 2024 Proving Test Set Contamination in Black-Box Language Models Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto

JMLR 2023 Deep Linear Networks Can Benignly Overfit When Shallow Ones Do Niladri S. Chatterji, Philip M. Long

TMLR 2023 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, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

JMLR 2023 Random Feature Amplification: Feature Learning and Generalization in Neural Networks Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett

TMLR 2023 Undersampling Is a Minimax Optimal Robustness Intervention in Nonparametric Classification Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

COLT 2022 Benign Overfitting Without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data Spencer Frei, Niladri S Chatterji, Peter Bartlett

JMLR 2022 Foolish Crowds Support Benign Overfitting Niladri S. Chatterji, Philip M. Long

JMLR 2022 The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett

JMLR 2021 Finite-Sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime Niladri S. Chatterji, Philip M. Long

JMLR 2021 When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks? Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett

COLT 2021 When Does Gradient Descent with Logistic Loss Interpolate Using Deep Networks with Smoothed ReLU Activations? Niladri S. Chatterji, Philip M. Long, Peter Bartlett

ICLR 2020 The Intriguing Role of Module Criticality in the Generalization of Deep Networks Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi

COLT 2018 Underdamped Langevin MCMC: A Non-Asymptotic Analysis Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett, Michael I. Jordan