Niladri S. Chatterji

According to our database, Niladri S. Chatterji authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Proving Test Set Contamination in Black-Box Language Models.

Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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 Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan 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

Trans. Mach. Learn. Res., 2023

Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification.

Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

Trans. Mach. Learn. Res., 2023

Random Feature Amplification: Feature Learning and Generalization in Neural Networks.

Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett

J. Mach. Learn. Res., 2023

Deep linear networks can benignly overfit when shallow ones do.

Niladri S. Chatterji, Philip M. Long

J. Mach. Learn. Res., 2023

2022

The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks.

Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett

J. Mach. Learn. Res., 2022

Foolish Crowds Support Benign Overfitting.

Niladri S. Chatterji, Philip M. Long

J. Mach. Learn. Res., 2022

Is Importance Weighting Incompatible with Interpolating Classifiers?

Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto

Proceedings of the Tenth International Conference on Learning Representations, 2022

Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data.

Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Why do Gradient Methods Work in Optimization and Sampling?

Niladri S. Chatterji

PhD thesis, 2021

When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks?

Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett

J. Mach. Learn. Res., 2021

Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime.

Niladri S. Chatterji, Philip M. Long

J. Mach. Learn. Res., 2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

On the Theory of Reinforcement Learning with Once-per-Episode Feedback.

Niladri S. Chatterji, Aldo Pacchiano, Peter L. Bartlett, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?

Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett

Proceedings of the Conference on Learning Theory, 2021

2020

Oracle lower bounds for stochastic gradient sampling algorithms.

Niladri S. Chatterji, Peter L. Bartlett, Philip M. Long

CoRR, 2020

The intriguing role of module criticality in the generalization of deep networks.

Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi

Proceedings of the 8th International Conference on Learning Representations, 2020

OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits.

Niladri S. Chatterji, Vidya Muthukumar, Peter L. Bartlett

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Langevin Monte Carlo without smoothness.

Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Is There an Analog of Nesterov Acceleration for MCMC?

Yi-An Ma, Niladri S. Chatterji, Xiang Cheng, Nicolas Flammarion, Peter L. Bartlett, Michael I. Jordan

CoRR, 2019

Online learning with kernel losses.

Niladri S. Chatterji, Aldo Pacchiano, Peter L. Bartlett

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting.

Xiang Cheng, Niladri S. Chatterji, Yasin Abbasi-Yadkori, Peter L. Bartlett, Michael I. Jordan

CoRR, 2018

On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo.

Niladri S. Chatterji, Nicolas Flammarion, Yi-An Ma, Peter L. Bartlett, Michael I. Jordan

Proceedings of the 35th International Conference on Machine Learning, 2018

Underdamped Langevin MCMC: A non-asymptotic analysis.

Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett, Michael I. Jordan

Proceedings of the Conference On Learning Theory, 2018

2017

Alternating minimization for dictionary learning with random initialization.

Niladri S. Chatterji, Peter L. Bartlett

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017