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Conference and Workshop Papers
- 2025
[c5]Avrim Blum, Vaidehi Srinivas:
Competitive strategies to use "warm start" algorithms with predictions. SODA 2025: 3775-3801- 2024
- [c4]Quanquan C. Liu, Vaidehi Srinivas:
The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations. COLT 2024: 3582-3641 - [c3]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: 375-386 - 2022
- [c2]Liam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan:
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound. NeurIPS 2022 - [c1]Vaidehi Srinivas, David P. Woodruff, Ziyu Xu, Samson Zhou:
Memory bounds for the experts problem. STOC 2022: 1158-1171
Informal and Other Publications
- 2024
- [i5]Aditya Bhaskara, Eric Evert, Vaidehi Srinivas, Aravindan Vijayaraghavan:
New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries. CoRR abs/2405.01517 (2024) - [i4]Vaidehi Srinivas, Avrim Blum:
Competitive strategies to use "warm start" algorithms with predictions. CoRR abs/2405.03661 (2024) - 2023
- [i3]Quanquan C. Liu, Vaidehi Srinivas:
The Predicted-Deletion Dynamic Model: Taking Advantage of ML Predictions, for Free. CoRR abs/2307.08890 (2023) - 2022
- [i2]Vaidehi Srinivas, David P. Woodruff, Ziyu Xu, Samson Zhou:
Memory Bounds for the Experts Problem. CoRR abs/2204.09837 (2022) - [i1]Liam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan:
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound. CoRR abs/2211.12389 (2022)
Coauthor Index
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