75 citations · 86 across the 3 of their papers we have counts for
3 papers
Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter
Alim Virani, Jay Baxter, Dan Shiebler +7
Traditionally, heuristic methods are used to generate candidates for large scale recommender systems. Model-based candidate generation promises multiple potential advantages, prima…
Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph
Julie Nutini, Behrooz Sepehry, Issam Laradji +3
The Kaczmarz method is an iterative algorithm for solving systems of linear equalities and inequalities, that iteratively projects onto these constraints. Recently, Strohmer and Ve…
Stop Wasting My Gradients: Practical SVRG
Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani +3
We present and analyze several strategies for improving the performance of stochastic variance-reduced gradient (SVRG) methods. We first show that the convergence rate of these met…