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Algorithms
Algorithms; Algorithms
Algorithms -> Bandit Algorithms; Reinforcement Learning and Planning
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Oral Session
Tue 10:30
Theory of Statistical and Deep Learning Methods
Poster
Wed 12:45
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
Shiyun Xu · Zhiqi Bu
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
Tue 14:00
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu · Shiyun Xu · Kan Chen
Poster
Tue 14:00
Sketch based Memory for Neural Networks
Rina Panigrahy · Xin Wang · Manzil Zaheer
Poster
Wed 12:45
Curriculum Learning by Optimizing Learning Dynamics
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Tue 14:00
The Base Measure Problem and its Solution
Alexey Radul · Boris Alexeev
Poster
Wed 6:00
Adaptive wavelet pooling for convolutional neural networks
Moritz Wolter · Jochen Garcke
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 12:45
Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time
Alan Kuhnle
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
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