Promit Ghosal

According to our database, Promit Ghosal authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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.

Krishnakumar Balasubramanian, Sayan Banerjee, Promit Ghosal

CoRR, 2024

Hybrid Global Causal Discovery with Local Search.

Sujai Hiremath, Jacqueline R. M. A. Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan

CoRR, 2024

2023

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression.

Xuxing Chen, Krishnakumar Balasubramanian, Promit Ghosal, Bhavya Agrawalla

CoRR, 2023

Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent.

Tianle Liu, Promit Ghosal, Krishnakumar Balasubramanian, Natesh S. Pillai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable.

Promit Ghosal, Srinath Mahankali, Yihang Sun

CoRR, 2022

2021

Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections.

Nabarun Deb, Promit Ghosal, Bodhisattva Sen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021