Promit Ghosal

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Causal Discovery

Dynamical Systems

Locally Weighted

Polynomial Regression

Top Venues

Trans. Mach. Learn. Res.

Publications

Xuxing Chen, Krishna Balasubramanian, Promit Ghosal, Bhavya Agrawalla
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression. Trans. Mach. Learn. Res. 2024 (2024)
Sujai Hiremath, Jacqueline R. M. A. Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan
Hybrid Global Causal Discovery with Local Search. CoRR (2024)
Xuxing Chen, Krishnakumar Balasubramanian, Promit Ghosal, Bhavya Agrawalla
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression. CoRR (2023)
Tianle Liu, Promit Ghosal, Krishnakumar Balasubramanian, Natesh Pillai
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent. CoRR (2023)
Tianle Liu, Promit Ghosal, Krishnakumar Balasubramanian, Natesh S. Pillai
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent. NeurIPS (2023)
Promit Ghosal, Srinath Mahankali, Yihang Sun
Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable. CoRR (2022)
Nabarun Deb, Promit Ghosal, Bodhisattva Sen
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections. NeurIPS (2021)