
More Supervision, Less Computation: StatisticalComputational Tradeoffs in Weakly Supervised Learning
We consider the weakly supervised binary classification problem where th...
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Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization
We consider the problem of solving mixed random linear equations with k ...
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Fast Algorithms for Robust PCA via Gradient Descent
We consider the problem of Robust PCA in the fully and partially observe...
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Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Latent variable models are a fundamental modeling tool in machine learni...
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Optimal linear estimation under unknown nonlinear transform
Linear regression studies the problem of estimating a model parameter β^...
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A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates
We consider the mixed regression problem with two components, under adve...
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Efficient Training on Very Large Corpora via Gramian Estimation
We study the problem of learning similarity functions over very large co...
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Xinyang Yi
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