Swati Padmanabhan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 20

Top Topics

Convex Optimization

Top Venues

Publications

Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye
Improving the Bit Complexity of Communication for Distributed Convex Optimization. STOC (2024)
Guy Kornowski, Swati Padmanabhan, Kai Wang, Zhe Zhang, Suvrit Sra
First-Order Methods for Linearly Constrained Bilevel Optimization. CoRR (2024)
Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye
Improving the Bit Complexity of Communication for Distributed Convex Optimization. CoRR (2024)
Swati Padmanabhan, David P. Woodruff, Qiuyi (Richard) Zhang
Sensitivities. CoRR (2023)
Zhe Feng, Swati Padmanabhan, Di Wang
Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱. WWW (2023)
Swati Padmanabhan, David P. Woodruff, Richard Zhang
Sensitivities. NeurIPS (2023)
Maryam Fazel, Yin Tat Lee, Swati Padmanabhan, Aaron Sidford
Computing Lewis Weights to High Precision. SODA (2022)
Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions. NeurIPS (2022)
Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. NeurIPS (2022)
Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. CoRR (2022)
Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. NeurIPS (2022)
Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. CoRR (2022)
Zhe Feng, Swati Padmanabhan, Di Wang
Online Bidding Algorithms for Return-on-Spend Constrained Advertisers. CoRR (2022)
Maryam Fazel, Yin Tat Lee, Swati Padmanabhan, Aaron Sidford
Computing Lewis Weights to High Precision. CoRR (2021)
Arun Jambulapati, Yin Tat Lee, Jerry Li, Swati Padmanabhan, Kevin Tian
Positive Semidefinite Programming: Mixed, Parallel, and Width-Independent. CoRR (2020)
Haotian Jiang, Tarun Kathuria, Yin Tat Lee, Swati Padmanabhan, Zhao Song
A Faster Interior Point Method for Semidefinite Programming. FOCS (2020)
Haotian Jiang, Tarun Kathuria, Yin Tat Lee, Swati Padmanabhan, Zhao Song
A Faster Interior Point Method for Semidefinite Programming. CoRR (2020)
Yin Tat Lee, Swati Padmanabhan
An $\widetilde\mathcalO(m/\varepsilon^3.5)$-Cost Algorithm for Semidefinite Programs with Diagonal Constraints. COLT (2020)
Arun Jambulapati, Yin Tat Lee, Jerry Li, Swati Padmanabhan, Kevin Tian
Positive semidefinite programming: mixed, parallel, and width-independent. STOC (2020)
Yin Tat Lee, Swati Padmanabhan
)-Cost Algorithm for Semidefinite Programs with Diagonal Constraints. CoRR (2019)
Onur Mudanyali, Swati Padmanabhan, Stoyan Dimitrov, Isa Navruz, Uzair Sikora, Aydogan Ozcan
Smart rapid diagnostics test reader running on a cell-phone for real-time mapping of epidemics. mHealthSys@SenSys (2012)