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Poster
Tue 18:30 Alternating minimization for dictionary learning with random initialization
Niladri Chatterji · Peter Bartlett
Poster
Wed 18:30 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
Jeffrey Regier · Michael Jordan · Jon McAuliffe
Poster
Wed 18:30 The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C Wilson · Becca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
Poster
Mon 18:30 Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
Poster
Tue 18:30 Implicit Regularization in Matrix Factorization
Suriya Gunasekar · Blake Woodworth · Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
Poster
Tue 18:30 Convolutional Phase Retrieval
Qing Qu · Yuqian Zhang · Yonina Eldar · John Wright
Poster
Tue 18:30 How regularization affects the critical points in linear networks
Amirhossein Taghvaei · Jin W Kim · Prashant Mehta
Poster
Mon 18:30 Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat Erdogdu · Yash Deshpande · Andrea Montanari
Poster
Tue 18:30 Collaborative Deep Learning in Fixed Topology Networks
Zhanhong Jiang · Aditya Balu · Chinmay Hegde · Soumik Sarkar
Poster
Tue 18:30 Consistent Robust Regression
Kush Bhatia · Prateek Jain · Parameswaran Kamalaruban · Purushottam Kar
Poster
Mon 18:30 Solving Most Systems of Random Quadratic Equations
Gang Wang · Georgios Giannakis · Yousef Saad · Jie Chen
Poster
Mon 18:30 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
Gauri Jagatap · Chinmay Hegde