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Spotlight
Thu 12:05 Nonlinear random matrix theory for deep learning
Jeffrey Pennington · Pratik Worah
Poster
Mon 18:30 Query Complexity of Clustering with Side Information
Arya Mazumdar · Barna Saha
Poster
Wed 18:30 Online Prediction with Selfish Experts
Tim Roughgarden · Okke Schrijvers
Poster
Tue 18:30 Convolutional Phase Retrieval
Qing Qu · Yuqian Zhang · Yonina Eldar · John Wright
Poster
Mon 18:30 Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
Songbai Yan · Chicheng Zhang
Poster
Tue 18:30 Learning Overcomplete HMMs
Vatsal Sharan · Sham Kakade · Percy Liang · Gregory Valiant
Poster
Mon 18:30 First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari · Alejandro Ribeiro
Poster
Wed 18:30 Learning to Pivot with Adversarial Networks
Gilles Louppe · Michael Kagan · Kyle Cranmer
Poster
Tue 18:30 A New Theory for Matrix Completion
Guangcan Liu · Qingshan Liu · Xiaotong Yuan
Poster
Mon 18:30 Solving Most Systems of Random Quadratic Equations
Gang Wang · Georgios Giannakis · Yousef Saad · Jie Chen
Poster
Tue 18:30 Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks
Surbhi Goel · Adam Klivans
Tutorial
Mon 14:30 Differentially Private Machine Learning: Theory, Algorithms and Applications
Kamalika Chaudhuri · Anand D Sarwate