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Poster
Tue 18:30 Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason Altschuler · Jonathan Niles-Weed · Philippe Rigollet
Poster
Mon 18:30 Parametric Simplex Method for Sparse Learning
Haotian Pang · Han Liu · Robert J Vanderbei · Tuo Zhao
Poster
Tue 18:30 Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
Francesco Locatello · Michael Tschannen · Gunnar Ratsch · Martin Jaggi
Poster
Wed 18:30 A Decomposition of Forecast Error in Prediction Markets
Miro Dudik · Sebastien Lahaie · Ryan Rogers · Jennifer Wortman Vaughan
Poster
Mon 18:30 Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
Celestine Dünner · Thomas Parnell · Martin Jaggi
Poster
Wed 18:30 Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
Mohammad Ali Bashiri · Xinhua Zhang
Poster
Mon 18:30 Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
Ahmet Alacaoglu · Quoc Tran Dinh · Olivier Fercoq · Volkan Cevher
Poster
Wed 18:30 Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien
Poster
Tue 18:30 On Frank-Wolfe and Equilibrium Computation
Jacob D Abernethy · Jun-Kun Wang
Poster
Tue 18:30 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi · Afshin Abdi · Nam Nguyen · Justin Romberg
Poster
Tue 18:30 Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
Shinji Ito · Daisuke Hatano · Hanna Sumita · Akihiro Yabe · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi