
Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow
We present a direct (primal only) derivation of Mirror Descent as a "par...
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Kernel and Rich Regimes in Overparametrized Models
A recent line of work studies overparametrized neural networks in the "k...
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Implicit Regularization of Normalization Methods
Normalization methods such as batch normalization are commonly used in o...
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Kernel and Deep Regimes in Overparametrized Models
A recent line of work studies overparametrized neural networks in the "k...
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Lexicographic and DepthSensitive Margins in Homogeneous and NonHomogeneous Deep Models
With an eye toward understanding complexity control in deep learning, we...
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On preserving nondiscrimination when combining expert advice
We study the interplay between sequential decision making and avoiding d...
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Implicit Bias of Gradient Descent on Linear Convolutional Networks
We show that gradient descent on fullwidth linear convolutional network...
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Convergence of Gradient Descent on Separable Data
The implicit bias of gradient descent is not fully understood even in si...
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Characterizing Implicit Bias in Terms of Optimization Geometry
We study the bias of generic optimization methods, including Mirror Desc...
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Implicit Regularization in Matrix Factorization
We study implicit regularization when optimizing an underdetermined quad...
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Preference Completion from Partial Rankings
We propose a novel and efficient algorithm for the collaborative prefere...
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Identifiable Phenotyping using Constrained NonNegative Matrix Factorization
This work proposes a new algorithm for automated and simultaneous phenot...
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Unified View of Matrix Completion under General Structural Constraints
In this paper, we present a unified analysis of matrix completion under ...
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Exponential Family Matrix Completion under Structural Constraints
We consider the matrix completion problem of recovering a structured mat...
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Consistent Collective Matrix Completion under Joint Low Rank Structure
We address the collective matrix completion problem of jointly recoverin...
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Suriya Gunasekar
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