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06/13/2023
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations
Training good representations for items is critical in recommender model...
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07/14/2019
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
We consider the weakly supervised binary classification problem where th...
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07/18/2018
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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08/19/2016
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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05/25/2016
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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11/27/2015
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Latent variable models are a fundamental modeling tool in machine learni...
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05/13/2015
Optimal linear estimation under unknown nonlinear transform
Linear regression studies the problem of estimating a model parameter β^...
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12/25/2013