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20122026
most citedFormal Verification of Obstacle Avoidance and Navigation of Ground Robots

72 citations · 542 across the 65 of their papers we have counts for

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Showing 2016Show all

10 papers · 1 filter

stat.ML2016★ 15 cited

Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach

Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis +1

We consider the non-square matrix sensing problem, under restricted isometry property (RIP) assumptions. We focus on the non-convex formulation, where any rank- matrix $X \in \m…

math.OC2016

Finding Low-Rank Solutions via Non-Convex Matrix Factorization, Efficiently and Provably

Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis +1

A rank- matrix can be written as a product , where and . One could explo…

stat.ML2016★ 21 cited

Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems

Dohyung Park, Anastasios Kyrillidis, Srinadh Bhojanapalli +2

We study the projected gradient descent method on low-rank matrix problems with a strongly convex objective. We use the Burer-Monteiro factorization approach to implicitly enforce…

stat.ML2016★ 2 cited

A simple and provable algorithm for sparse diagonal CCA

Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo +1

Given two sets of variables, derived from a common set of samples, sparse Canonical Correlation Analysis (CCA) seeks linear combinations of a small number of variables in each set,…

eess.SY2016★ 72 cited

Formal Verification of Obstacle Avoidance and Navigation of Ground Robots

Stefan Mitsch, Khalil Ghorbal, David Vogelbacher +1

The safety of mobile robots in dynamic environments is predicated on making sure that they do not collide with obstacles. In support of such safety arguments, we analyze and formal…

cs.LG2016★ 5 cited

Learning Sparse Additive Models with Interactions in High Dimensions

Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner +1

A function is referred to as a Sparse Additive Model (SPAM), if it is of the form , whe…