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Poster
Wed 6:00 Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park
Poster
Tue 14:00 Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
Damien Scieur · Lewis Liu · Thomas Pumir · Nicolas Boumal
Poster
Tue 14:00 Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
Shinsaku Sakaue
Poster
Wed 6:00 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
Yuyang Shi · Rob Cornish
Poster
Tue 14:00 Alternating Direction Method of Multipliers for Quantization
Tianjian Huang · Prajwal Singhania · Maziar Sanjabi · Pabitra Mitra · Meisam Razaviyayn
Poster
Wed 12:45 A Study of Condition Numbers for First-Order Optimization
Charles Guille-Escuret · Manuela Girotti · Baptiste Goujaud · Ioannis Mitliagkas
Poster
Thu 7:30 Hadamard Wirtinger Flow for Sparse Phase Retrieval
Fan Wu · Patrick Rebeschini
Poster
Tue 14:00 Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu · Yingbin Liang
Poster
Wed 6:00 An Analysis of the Adaptation Speed of Causal Models
Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien
Poster
Wed 12:45 Feedback Coding for Active Learning
Gregory Canal · Matthieu Bloch · Christopher Rozell
Oral
Tue 11:45 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo
Matthew Hoffman · Alexey Radul · Pavel Sountsov
Poster
Thu 7:30 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo
Matthew Hoffman · Alexey Radul · Pavel Sountsov