output
20052020
most citedNon-convex Optimization for Machine Learning

354 citations

Showing 2014Show all

7 papers · 1 filter

cs.SI201412 cited

Streaming, Memory Limited Algorithms for Community Detection

Se-Young Yun, Marc Lelarge, Alexandre Proutiere

In this paper, we consider sparse networks consisting of a finite number of non-overlapping communities, i.e. disjoint clusters, so that there is higher density within clusters tha…

cs.DS201433 cited

Provable Submodular Minimization using Wolfe's Algorithm

Deeparnab Chakrabarty, Prateek Jain, Pravesh Kothari

Owing to several applications in large scale learning and vision problems, fast submodular function minimization (SFM) has become a critical problem. Theoretically, unconstrained S…

cs.LO201413 cited

Advanced Proof Viewing in ProofTool

Tomer Libal, Martin Riener, Mikheil Rukhaia

Sequent calculus is widely used for formalizing proofs. However, due to the proliferation of data, understanding the proofs of even simple mathematical arguments soon becomes impos…

cs.LG201418 cited

Online and Stochastic Gradient Methods for Non-decomposable Loss Functions

Purushottam Kar, Harikrishna Narasimhan, Prateek Jain

Modern applications in sensitive domains such as biometrics and medicine frequently require the use of non-decomposable loss functions such as precision@k, F-measure etc. Compared…

cs.LG201467 cited

On Iterative Hard Thresholding Methods for High-dimensional M-Estimation

Prateek Jain, Ambuj Tewari, Purushottam Kar

The use of M-estimators in generalized linear regression models in high dimensional settings requires risk minimization with hard constraints. Of the known methods, the class…

cs.DS20143 cited

On Computing Maximal Independent Sets of Hypergraphs in Parallel

Ioana O. Bercea, Navin Goyal, David G. Harris +1

Whether or not the problem of finding maximal independent sets (MIS) in hypergraphs is in (R)NC is one of the fundamental problems in the theory of parallel computing. Unlike the w…