Learning Two-layer Neural Networks with Symmetric Inputs. - Rong Ge 001; Rohith Kuditipudi; Zhize Li; Xiang Wang 011 (ICLR (Poster), 2019)

Increasing the Lifetime of Flash Memories Using Multi-Dimensional Graph-Based Codes. - Ahmed H. Hareedy; Rohith Kuditipudi; A. Robert Calderbank (ITW, 2019)

Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. - Rohith Kuditipudi; Xiang Wang 011; Holden Lee; Yi Zhang 074; Zhiyuan Li 005; Wei Hu 014; Rong Ge 001; Sanjeev Arora (NeurIPS, 2019)

Minimizing the Number of Detrimental Objects in Multi-Dimensional Graph-Based Codes. - Ahmed H. Hareedy; Rohith Kuditipudi; A. Robert Calderbank (IEEE Trans. Commun., 2020)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Memorize to generalize: on the necessity of interpolation in high dimensional linear regression. - Chen Cheng; John C. Duchi; Rohith Kuditipudi (COLT, 2022)

A Pretty Fast Algorithm for Adaptive Private Mean Estimation. - Rohith Kuditipudi; John C. Duchi; Saminul Haque (COLT, 2023)

A Fast Algorithm for Adaptive Private Mean Estimation. - John C. Duchi; Saminul Haque; Rohith Kuditipudi (CoRR, 2023)

Resampling methods for Private Statistical Inference. - Karan N. Chadha; John C. Duchi; Rohith Kuditipudi (CoRR, 2024)

Robust Distortion-free Watermarks for Language Models. - Rohith Kuditipudi; John Thickstun; Tatsunori Hashimoto; Percy Liang (Trans. Mach. Learn. Res., 2024)

Auditing Prompt Caching in Language Model APIs. - Chenchen Gu; Xiang Lisa Li; Rohith Kuditipudi; Percy Liang; Tatsunori Hashimoto (CoRR, 2025)

Independence Tests for Language Models. - Sally Zhu; Ahmed Ahmed; Rohith Kuditipudi; Percy Liang (CoRR, 2025)

A fast and slightly robust covariance estimator. - John C. Duchi; Saminul Haque; Rohith Kuditipudi (CoRR, 2025)