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Promit Ghosal
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 5
Top Topics
Polynomial Regression
Loss Function
Optical Flow Computation
Tomographic Reconstruction
Top Venues
CoRR
NeurIPS
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Publications
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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)