Ghosal, Promit

7 publications

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

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

NeurIPS 2025 When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery Dominik Meier, Sujai Hiremath, Promit Ghosal, Kyra Gan

TMLR 2024 From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression Xuxing Chen, Krishna Balasubramanian, Promit Ghosal, Bhavya Kumar Agrawalla

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

NeurIPS 2023 Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu, Promit Ghosal, Krishnakumar Balasubramanian, Natesh Pillai

NeurIPS 2021 Rates of Estimation of Optimal Transport Maps Using Plug-in Estimators via Barycentric Projections Nabarun Deb, Promit Ghosal, Bodhisattva Sen