|
Poster
|
Mon 9:00
|
Multi-armed Bandits: Competing with Optimal Sequences
Zohar Karnin · Oren Anava
|
|
|
Workshop
|
Fri 6:30
|
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
|
|
|
Workshop
|
Fri 7:50
|
Hierarchical Multi-Agent Reinforcement Learning through Communicative Actions for Human-Robot Collaboration, Elena Corina Grigore and Brian Scassellati
|
|
|
Poster
|
Tue 9:00
|
The Multi-fidelity Multi-armed Bandit
Kirthevasan Kandasamy · Gautam Dasarathy · Barnabas Poczos · Jeff Schneider
|
|
|
Workshop
|
Thu 23:00
|
Private Multi-Party Machine Learning
Borja Balle · Aurélien Bellet · David Evans · Adrià Gascón
|
|
|
Poster
|
Mon 9:00
|
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob Foerster · Yannis Assael · Nando de Freitas · Shimon Whiteson
|
|
|
Workshop
|
Thu 23:50
|
Learning to Communicate with Deep Multi−Agent Reinforcement Learning
Shimon Whiteson
|
|
|
Workshop
|
Fri 0:55
|
Edoardo Manino: "Efficiency of Active Learning for the Allocation of Workers on Crowdsourced Classification Tasks"
|
|
|
Poster
|
Wed 9:00
|
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
Jingwei Liang · Jalal Fadili · Gabriel Peyré
|
|
|
Workshop
|
Thu 23:00
|
Extreme Classification: Multi-class and Multi-label Learning in Extremely Large Label Spaces
Moustapha Cisse · Manik Varma · Samy Bengio
|
|
|
Workshop
|
Sat 5:30
|
What makes ImageNet good for Transfer Learning?
Jacob MY Huh · Pulkit Agrawal · Alexei Efros
|
|
|
Poster
|
Wed 9:00
|
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
Kihyuk Sohn
|
|
