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06/25/2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning
We consider the problem of heteroscedastic linear regression, where, giv...
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05/27/2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
Stein Variational Gradient Descent (SVGD) is a popular variational infer...
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06/07/2022
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
We analyze the convergence rates of stochastic gradient algorithms for s...
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11/07/2021
NeurInt : Learning to Interpolate through Neural ODEs
A wide range of applications require learning image generation models wh...
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12/17/2019
Jointly Trained Image and Video Generation using Residual Vectors
In this work, we propose a modeling technique for jointly training image...
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09/08/2019