Vaidehi Srinivas

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Predicted Values

Top Venues

Publications

Aditya Bhaskara, Eric Evert, Vaidehi Srinivas, Aravindan Vijayaraghavan
New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries. STOC (2024)
Vaidehi Srinivas, Avrim Blum
Competitive strategies to use "warm start" algorithms with predictions. CoRR (2024)
Aditya Bhaskara, Eric Evert, Vaidehi Srinivas, Aravindan Vijayaraghavan
New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries. CoRR (2024)
Quanquan C. Liu, Vaidehi Srinivas
The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations. COLT (2024)
Quanquan C. Liu, Vaidehi Srinivas
The Predicted-Deletion Dynamic Model: Taking Advantage of ML Predictions, for Free. CoRR (2023)
Vaidehi Srinivas, David P. Woodruff, Ziyu Xu, Samson Zhou
Memory Bounds for the Experts Problem. CoRR (2022)
Liam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound. NeurIPS (2022)
Liam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound. CoRR (2022)
Vaidehi Srinivas, David P. Woodruff, Ziyu Xu, Samson Zhou
Memory bounds for the experts problem. STOC (2022)