The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound. - Liam O'Carroll; Vaidehi Srinivas; Aravindan Vijayaraghavan (NeurIPS, 2022)

Memory bounds for the experts problem. - Vaidehi Srinivas; David P. Woodruff; Ziyu Xu 001; Samson Zhou (STOC, 2022)

The Predicted-Deletion Dynamic Model: Taking Advantage of ML Predictions, for Free. - Quanquan C. Liu; Vaidehi Srinivas (CoRR, 2023)

The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations. - Quanquan C. Liu; Vaidehi Srinivas (COLT, 2024)

New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries. - Aditya Bhaskara; Eric Evert; Vaidehi Srinivas; Aravindan Vijayaraghavan (STOC, 2024)

Computing High-dimensional Confidence Sets for Arbitrary Distributions. - Chao Gao; Liren Shan; Vaidehi Srinivas; Aravindan Vijayaraghavan (COLT, 2025)

Competitive strategies to use "warm start" algorithms with predictions. - Avrim Blum; Vaidehi Srinivas (SODA, 2025)

Volume Optimality in Conformal Prediction with Structured Prediction Sets. - Chao Gao; Liren Shan; Vaidehi Srinivas; Aravindan Vijayaraghavan (CoRR, 2025)

Online Conformal Prediction with Efficiency Guarantees. - Vaidehi Srinivas (CoRR, 2025)