Nash Equilibrium Computation in Resource Allocation Games. - Shivam Gupta 002; Ruta Mehta (AAMAS, 2018)

Sharp Constants in Uniformity Testing via the Huber Statistic. - Shivam Gupta 002; Eric Price 001 (COLT, 2022)

Outlier-Robust Sparse Estimation via Non-Convex Optimization. - Yu Cheng 002; Ilias Diakonikolas; Rong Ge 001; Shivam Gupta 002; Daniel Kane 001; Mahdi Soltanolkotabi (NeurIPS, 2022)

Finite-Sample Maximum Likelihood Estimation of Location. - Shivam Gupta 002; Jasper C. H. Lee; Eric Price 001; Paul Valiant (NeurIPS, 2022)

Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. - Shivam Gupta 002; Jasper C. H. Lee; Eric Price 001 (COLT, 2023)

High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. - Shivam Gupta 002; Jasper C. H. Lee; Eric Price 001 (ICML, 2023)

Minimax-Optimal Location Estimation. - Shivam Gupta 002; Jasper C. H. Lee; Eric Price 001; Paul Valiant (NeurIPS, 2023)

Sample-Efficient Training for Diffusion. - Shivam Gupta 002; Aditya Parulekar; Eric Price 001; Zhiyang Xun (CoRR, 2023)

Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation. - Shivam Gupta 002; Samuel B. Hopkins 001; Eric C. Price (COLT, 2024)

Diffusion Posterior Sampling is Computationally Intractable. - Shivam Gupta 002; Ajil Jalal; Aditya Parulekar; Eric Price 001; Zhiyang Xun (ICML, 2024)

Improved Sample Complexity Bounds for Diffusion Model Training. - Shivam Gupta 002; Aditya Parulekar; Eric Price 001; Zhiyang Xun (NeurIPS, 2024)

Faster Diffusion-based Sampling with Randomized Midpoints: Sequential and Parallel. - Shivam Gupta 002; Linda Cai; Sitan Chen (CoRR, 2024)

Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel. - Shivam Gupta 002; Linda Cai; Sitan Chen (ICLR, 2025)