Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections. - Nabarun Deb; Promit Ghosal; Bodhisattva Sen (NeurIPS, 2021)

Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable. - Promit Ghosal; Srinath Mahankali; Yihang Sun (CoRR, 2022)

Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent. - Tianle Liu; Promit Ghosal; Krishnakumar Balasubramanian 002; Natesh S. Pillai (NeurIPS, 2023)

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression. - Xuxing Chen; Krishnakumar Balasubramanian 002; Promit Ghosal; Bhavya Agrawalla (CoRR, 2023)

Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models. - Sujai Hiremath; Jacqueline R. M. A. Maasch; Mengxiao Gao; Promit Ghosal; Kyra Gan (NeurIPS, 2024)

Hybrid Global Causal Discovery with Local Search. - Sujai Hiremath; Jacqueline R. M. A. Maasch; Mengxiao Gao; Promit Ghosal; Kyra Gan (CoRR, 2024)

Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent. - Krishnakumar Balasubramanian 002; Sayan Banerjee; Promit Ghosal (CoRR, 2024)

LoSAM: Local Search in Additive Noise Models with Unmeasured Confounders, a Top-Down Global Discovery Approach. - Sujai Hiremath; Promit Ghosal; Kyra Gan (CoRR, 2024)

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression. - Xuxing Chen; Krishna Balasubramanian; Promit Ghosal; Bhavya Agrawalla (Trans. Mach. Learn. Res., 2024)

Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent. - Sayan Banerjee; Krishna Balasubramanian; Promit Ghosal (ICLR, 2025)

LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery. - Sujai Hiremath; Promit Ghosal; Kyra Gan (UAI, 2025)

How Private is Your Attention? Bridging Privacy with In-Context Learning. - Soham Bonnerjee; Zhen Wei Yeon; Anna Asch; Sagnik Nandy; Promit Ghosal (CoRR, 2025)

BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions. - Kingsley Yeon; Promit Ghosal; Mihai Anitescu (CoRR, 2025)

When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery. - Dominik Meier; Sujai Hiremath; Promit Ghosal; Kyra Gan (CoRR, 2025)