226 citations · 1.9k across the 128 of their papers we have counts for
14 papers · 1 filter
Gauss quadrature for matrix inverse forms with applications
Chengtao Li, Suvrit Sra, Stefanie Jegelka
We present a framework for accelerating a spectrum of machine learning algorithms that require computation of bilinear inverse forms , where is a positive defin…
Diversity Networks: Neural Network Compression Using Determinantal Point Processes
Zelda Mariet, Suvrit Sra
We introduce Divnet, a flexible technique for learning networks with diverse neurons. Divnet models neuronal diversity by placing a Determinantal Point Process (DPP) over neurons i…
Efficient Structured Matrix Rank Minimization
Adams Wei Yu, Wanli Ma, Yaoliang Yu +2
We study the problem of finding structured low-rank matrices using nuclear norm regularization where the structure is encoded by a linear map. In contrast to most known approaches…
Logarithmic inequalities under an elementary symmetric polynomial dominance order
Suvrit Sra
We consider a dominance order on positive vectors induced by the elementary symmetric polynomials. Under this dominance order we provide conditions that yield simple proofs of seve…
Efficient Sampling for k-Determinantal Point Processes
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Determinantal Point Processes (DPPs) are elegant probabilistic models of repulsion and diversity over discrete sets of items. But their applicability to large sets is hindered by e…
AdaDelay: Delay Adaptive Distributed Stochastic Convex Optimization
Suvrit Sra, Adams Wei Yu, Mu Li +1
We study distributed stochastic convex optimization under the delayed gradient model where the server nodes perform parameter updates, while the worker nodes compute stochastic gra…