Rohith Kuditipudi

22 papers A* 5B 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
High-dimensional estimation with missing data: Statistical and computational limits.
CoRR
Kabir Aladin Verchand, Ankit Pensia, Saminul Haque, Rohith Kuditipudi
2025 J jnl
A fast and slightly robust covariance estimator.
CoRR
John C. Duchi, Saminul Haque, Rohith Kuditipudi
2025 A* conf
Auditing Prompt Caching in Language Model APIs.
ICML
Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto
2025 J jnl
Auditing Prompt Caching in Language Model APIs.
CoRR
Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto
2025 J jnl
Blackbox Model Provenance via Palimpsestic Membership Inference.
CoRR
Rohith Kuditipudi, Jing Huang, Sally Zhu, Diyi Yang, Christopher Potts, Percy Liang
2025 A* conf
Independence Tests for Language Models.
ICML
Sally Zhu, Ahmed M. Ahmed, Rohith Kuditipudi, Percy Liang
2025 J jnl
Independence Tests for Language Models.
CoRR
Sally Zhu, Ahmed Ahmed, Rohith Kuditipudi, Percy Liang
2024 J jnl
Resampling methods for Private Statistical Inference.
CoRR
Karan N. Chadha, John C. Duchi, Rohith Kuditipudi
2024 J jnl
Robust Distortion-free Watermarks for Language Models.
Trans. Mach. Learn. Res.
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
2023 J jnl
A Fast Algorithm for Adaptive Private Mean Estimation.
CoRR
John C. Duchi, Saminul Haque, Rohith Kuditipudi
2023 A* conf
A Pretty Fast Algorithm for Adaptive Private Mean Estimation.
COLT
Rohith Kuditipudi, John C. Duchi, Saminul Haque
2023 J jnl
Robust Distortion-free Watermarks for Language Models.
CoRR
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
2022 J jnl
Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression.
CoRR
Chen Cheng, John C. Duchi, Rohith Kuditipudi
2022 A* conf
Memorize to generalize: on the necessity of interpolation in high dimensional linear regression.
COLT
Chen Cheng, John C. Duchi, Rohith Kuditipudi
2021 J jnl
On the Opportunities and Risks of Foundation Models.
CoRR
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.
2020 J jnl
Minimizing the Number of Detrimental Objects in Multi-Dimensional Graph-Based Codes.
IEEE Trans. Commun.
Ahmed H. Hareedy, Rohith Kuditipudi, A. Robert Calderbank
2019 A* conf
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets.
NeurIPS
Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora
2019 J jnl
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets.
CoRR
Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge
2019 B conf
Increasing the Lifetime of Flash Memories Using Multi-Dimensional Graph-Based Codes.
ITW
Ahmed H. Hareedy, Rohith Kuditipudi, A. Robert Calderbank
2019 — conf
Learning Two-layer Neural Networks with Symmetric Inputs.
ICLR (Poster)
Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang
2019 J jnl
Minimizing the Number of Detrimental Objects in Multi-Dimensional Graph-Based Codes.
CoRR
Ahmed H. Hareedy, Rohith Kuditipudi, A. Robert Calderbank
2018 J jnl
Learning Two-layer Neural Networks with Symmetric Inputs.
CoRR
Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang