Smart rapid diagnostics test reader running on a cell-phone for real-time mapping of epidemics. - Onur Mudanyali; Swati Padmanabhan; Stoyan Dimitrov; Isa Navruz; Uzair Sikora; Aydogan Ozcan (mHealthSys@SenSys, 2012)

An Õ(m/ε3.5)-Cost Algorithm for Semidefinite Programs with Diagonal Constraints. - Yin Tat Lee; Swati Padmanabhan (CoRR, 2019)

An $ widetilde mathcalO(m/ varepsilon^3.5)$-Cost Algorithm for Semidefinite Programs with Diagonal Constraints. - Yin Tat Lee; Swati Padmanabhan (COLT, 2020)

A Faster Interior Point Method for Semidefinite Programming. - Haotian Jiang; Tarun Kathuria; Yin Tat Lee; Swati Padmanabhan; Zhao Song 002 (FOCS, 2020)

Positive semidefinite programming: mixed, parallel, and width-independent. - Arun Jambulapati; Yin Tat Lee; Jerry Li 001; Swati Padmanabhan; Kevin Tian (STOC, 2020)

A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions. - Damek Davis; Dmitriy Drusvyatskiy; Yin Tat Lee; Swati Padmanabhan; Guanghao Ye (NeurIPS, 2022)

A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. - Jelena Diakonikolas; Chenghui Li; Swati Padmanabhan; Chaobing Song (NeurIPS, 2022)

Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. - Sally Dong; Haotian Jiang; Yin Tat Lee; Swati Padmanabhan; Guanghao Ye (NeurIPS, 2022)

Computing Lewis Weights to High Precision. - Maryam Fazel; Yin Tat Lee; Swati Padmanabhan; Aaron Sidford (SODA, 2022)

Computing Approximate 𝓁p Sensitivities. - Swati Padmanabhan; David P. Woodruff; Richard Zhang 003 (NeurIPS, 2023)

Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱. - Zhe Feng 004; Swati Padmanabhan; Di Wang 005 (WWW, 2023)

On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control. - Daniel Pfrommer; Swati Padmanabhan; Kwangjun Ahn; Jack Umenberger; Tobia Marcucci; Zakaria Mhammedi; Ali Jadbabaie (CDC, 2024)

First-Order Methods for Linearly Constrained Bilevel Optimization. - Guy Kornowski; Swati Padmanabhan; Kai Wang; Zhe Zhang; Suvrit Sra (NeurIPS, 2024)

Improving the Bit Complexity of Communication for Distributed Convex Optimization. - Mehrdad Ghadiri; Yin Tat Lee; Swati Padmanabhan; William Swartworth; David P. Woodruff; Guanghao Ye (STOC, 2024)

On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization. - Guy Kornowski; Swati Padmanabhan; Ohad Shamir (CoRR, 2024)

Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control. - Daniel Pfrommer; Swati Padmanabhan; Kwangjun Ahn; Jack Umenberger; Tobia Marcucci; Zakaria Mhammedi; Ali Jadbabaie (CoRR, 2024)

Online Bidding under RoS Constraints without Knowing the Value. - Sushant Vijayan; Zhe Feng 004; Swati Padmanabhan; Karthikeyan Shanmugam; Arun Sai Suggala; Di Wang 005 (WWW, 2025)