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Oral
Wed 8:00 Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
Dan Garber · Dan Garber · Ofer Meshi
Poster
Wed 9:00 Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
Dan Garber · Dan Garber · Ofer Meshi
Poster
Mon 9:00 Scaled Least Squares Estimator for GLMs in Large-Scale Problems
Murat Erdogdu · Lee H Dicker · Mohsen Bayati
Poster
Tue 9:00 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
Hongseok Namkoong · John Duchi
Poster
Tue 9:00 NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
Davood Hajinezhad · Mingyi Hong · Tuo Zhao · Zhaoran Wang
Poster
Wed 9:00 Scalable Adaptive Stochastic Optimization Using Random Projections
Gabriel Krummenacher · Brian McWilliams · Yannic Kilcher · Joachim M Buhmann · Nicolai Meinshausen
Poster
Wed 9:00 An Efficient Streaming Algorithm for the Submodular Cover Problem
Ashkan Norouzi-Fard · Abbas Bazzi · Ilija Bogunovic · Marwa El Halabi · Ya-Ping Hsieh · Volkan Cevher
Poster
Wed 9:00 Unsupervised Learning from Noisy Networks with Applications to Hi-C Data
Bo Wang · Junjie Zhu · Armin Pourshafeie · Oana Ursu · Serafim Batzoglou · Anshul Kundaje
Poster
Mon 9:00 A Multi-Batch L-BFGS Method for Machine Learning
Albert Berahas · Jorge Nocedal · Martin Takac
Poster
Mon 9:00 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
Amin Jalali · Qiyang Han · Ioana Dumitriu · Maryam Fazel
Poster
Mon 9:00 Learning brain regions via large-scale online structured sparse dictionary learning
Elvis DOHMATOB · Arthur Mensch · Gael Varoquaux · Bertrand Thirion
Poster
Wed 9:00 Asynchronous Parallel Greedy Coordinate Descent
Yang You · Xiangru Lian · Ji Liu · Hsiang-Fu Yu · Inderjit Dhillon · James Demmel · Cho-Jui Hsieh