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Poster
Tue 17:30 XNAS: Neural Architecture Search with Expert Advice
Niv Nayman · Asaf Noy · Tal Ridnik · Itamar Friedman · Rong Jin · Lihi Zelnik
Poster
Tue 17:30 Reducing the variance in online optimization by transporting past gradients
Sébastien Arnold · Pierre-Antoine Manzagol · Reza Babanezhad Harikandeh · Ioannis Mitliagkas · Nicolas Le Roux
Poster
Wed 17:00 Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
Jonas Mueller · Vasilis Syrgkanis · Matt Taddy
Poster
Wed 17:00 Gradient based sample selection for online continual learning
Rahaf Aljundi · Min Lin · Baptiste Goujaud · Yoshua Bengio
Poster
Wed 17:00 Semi-Parametric Efficient Policy Learning with Continuous Actions
Victor Chernozhukov · Mert Demirer · Greg Lewis · Vasilis Syrgkanis
Poster
Tue 17:30 Learning Multiple Markov Chains via Adaptive Allocation
Mohammad Sadegh Talebi · Odalric-Ambrym Maillard
Poster
Thu 10:45 Learning Nearest Neighbor Graphs from Noisy Distance Samples
Blake Mason · Ardhendu Tripathy · Robert Nowak
Poster
Tue 17:30 Online sampling from log-concave distributions
Holden Lee · Oren Mangoubi · Nisheeth Vishnoi
Poster
Tue 10:45 Inherent Weight Normalization in Stochastic Neural Networks
Georgios Detorakis · Sourav Dutta · Abhishek Khanna · Matthew Jerry · Suman Datta · Emre O Neftci
Poster
Thu 10:45 Online Continual Learning with Maximal Interfered Retrieval
Rahaf Aljundi · Eugene Belilovsky · Tinne Tuytelaars · Laurent Charlin · Massimo Caccia · Min Lin · Lucas Page-Caccia