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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
Tue 18:30 Consistent Robust Regression
Kush Bhatia · Prateek Jain · Parameswaran Kamalaruban · Purushottam Kar
Poster
Tue 18:30 Collaborative Deep Learning in Fixed Topology Networks
Zhanhong Jiang · Aditya Balu · Chinmay Hegde · Soumik Sarkar
Poster
Mon 18:30 Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat Erdogdu · Yash Deshpande · Andrea Montanari
Poster
Mon 18:30 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
Gauri Jagatap · Chinmay Hegde
Poster
Mon 18:30 Solving Most Systems of Random Quadratic Equations
Gang Wang · Georgios Giannakis · Yousef Saad · Jie Chen
Poster
Mon 18:30 Influence Maximization with ε-Almost Submodular Threshold Functions
Qiang Li · Wei Chen · Institute of Computing Xiaoming Sun · Institute of Computing Jialin Zhang
Poster
Mon 18:30 Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences
Kinjal Basu · Ankan Saha · Shaunak Chatterjee
Poster
Wed 18:30 Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan · J. Zico Kolter