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Poster
Wed 12:45 DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
Shiyun Xu · Zhiqi Bu
Oral Session
Tue 10:30 Theory of Statistical and Deep Learning Methods
Poster
Tue 14:00 Sketch based Memory for Neural Networks
Rina Panigrahy · Xin Wang · Manzil Zaheer
Poster
Thu 7:30 Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
Jeremiah Liu
Poster
Wed 12:45 Curriculum Learning by Optimizing Learning Dynamics
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Tue 14:00 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu · Shiyun Xu · Kan Chen
Poster
Tue 14:00 The Base Measure Problem and its Solution
Alexey Radul · Boris Alexeev
Poster
Thu 7:30 Fourier Bases for Solving Permutation Puzzles
Horace Pan · Risi Kondor
Poster
Thu 7:30 Approximating Lipschitz continuous functions with GroupSort neural networks
Ugo Tanielian · Gerard Biau
Poster
Wed 6:00 Adaptive wavelet pooling for convolutional neural networks
Moritz Wolter · Jochen Garcke
Poster
Wed 6:00 On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity
Yuuki Takai · Akiyoshi Sannai · Matthieu Cordonnier
Poster
Wed 12:45 Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
Yilun Zhou · Adithya Renduchintala · Xian Li · Sida Wang · Yashar Mehdad · Asish Ghoshal