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Poster
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Mon 9:00
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The non-convex Burer-Monteiro approach works on smooth semidefinite programs
Nicolas Boumal · Vlad Voroninski · Afonso Bandeira
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Poster
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Mon 9:00
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Stochastic Three-Composite Convex Minimization
Alp Yurtsever · Bang Cong Vu · Volkan Cevher
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Poster
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Mon 9:00
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More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
Xinyang Yi · Zhaoran Wang · Zhuoran Yang · Constantine Caramanis · Han Liu
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Poster
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Mon 9:00
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Deep Submodular Functions: Definitions and Learning
Brian W Dolhansky · Jeffrey A Bilmes
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Poster
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Mon 9:00
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Scaled Least Squares Estimator for GLMs in Large-Scale Problems
Murat Erdogdu · Lee H Dicker · Mohsen Bayati
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Poster
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Mon 9:00
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Computing and maximizing influence in linear threshold and triggering models
Justin Khim · Varun Jog · Po-Ling Loh
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Poster
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Mon 9:00
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Optimistic Bandit Convex Optimization
Scott Yang · Mehryar Mohri
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Poster
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Mon 9:00
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Crowdsourced Clustering: Querying Edges vs Triangles
Ramya Korlakai Vinayak · Babak Hassibi
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Poster
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Mon 9:00
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Causal meets Submodular: Subset Selection with Directed Information
Yuxun Zhou · Costas J Spanos
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Poster
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Mon 9:00
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Estimating the class prior and posterior from noisy positives and unlabeled data
Shantanu Jain · Martha White · Predrag Radivojac
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Poster
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Mon 9:00
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Robust k-means: a Theoretical Revisit
ALEXANDROS GEORGOGIANNIS
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Poster
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Mon 9:00
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Sorting out typicality with the inverse moment matrix SOS polynomial
Edouard Pauwels · Jean Lasserre
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