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Poster
Tue 18:30 Understanding Gradient Clipping In Incremental Gradient Methods
Jiang Qian · Yuren Wu · Bojin Zhuang · Shaojun Wang · Jing Xiao
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 18:30 Mirror Descent View for Neural Network Quantization
Thalaiyasingam Ajanthan · Kartik Gupta · Philip Torr · RICHARD HARTLEY · Puneet Dokania
Poster
Wed 12:45 Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling
Setareh Ariafar · Zelda Mariet · Dana Brooks · Jennifer Dy · Jasper Snoek
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 6:00 Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
Tianyang Hu · Wenjia Wang · Cong Lin · Guang Cheng
Poster
Tue 14:00 Influence Decompositions For Neural Network Attribution
Kyle Reing · Greg Ver Steeg · Aram Galstyan
Poster
Wed 6:00 Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park
Poster
Wed 12:45 Feedback Coding for Active Learning
Gregory Canal · Matthieu Bloch · Christopher Rozell
Poster
Tue 18:30 One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
Hanjing Zhu · Jiaming Xu
Poster
Tue 14:00 Sketch based Memory for Neural Networks
Rina Panigrahy · Xin Wang · Manzil Zaheer