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Oral
Tue Jun 11 02:00 PM -- 02:20 PM (PDT) @ Room 201
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
Ramin Raziperchikolaei · Harish Bhat
Oral
Tue Jun 11 02:20 PM -- 02:25 PM (PDT) @ Room 201
Learning Hawkes Processes Under Synchronization Noise
William Trouleau · Jalal Etesami · Matthias Grossglauser · Negar Kiyavash · Patrick Thiran
[ Slides [ Video
Oral
Tue Jun 11 02:25 PM -- 02:30 PM (PDT) @ Room 201
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen · Shuang Li · Hui Li · Shaohua Jiang · Yuan Qi · Le Song
[ Slides [ Video
Oral
Tue Jun 11 02:30 PM -- 02:35 PM (PDT) @ Room 201
A Statistical Investigation of Long Memory in Language and Music
Alexander Greaves-Tunnell · Zaid Harchaoui
[ Slides [ Video
Oral
Tue Jun 11 02:35 PM -- 02:40 PM (PDT) @ Room 201
Deep Factors for Forecasting
Yuyang Wang · Alex Smola · Danielle Robinson · Jan Gasthaus · Dean Foster · Tim Januschowski
[ Slides [ Video
Oral
Tue Jun 11 02:40 PM -- 03:00 PM (PDT) @ Room 201
Weakly-Supervised Temporal Localization via Occurrence Count Learning
Julien Schroeter · Kirill Sidorov · David Marshall
[ Slides [ Video
Oral
Tue Jun 11 03:00 PM -- 03:05 PM (PDT) @ Room 201
Switching Linear Dynamics for Variational Bayes Filtering
Philip Becker-Ehmck · Jan Peters · Patrick van der Smagt
[ Slides [ Video
Oral
Tue Jun 11 03:05 PM -- 03:10 PM (PDT) @ Room 201
Imputing Missing Events in Continuous-Time Event Streams
Hongyuan Mei · Guanghui Qin · Jason Eisner
[ Slides [ Video
Oral
Tue Jun 11 03:10 PM -- 03:15 PM (PDT) @ Room 201
Understanding and Controlling Memory in Recurrent Neural Networks
Doron Haviv · Alexander Rivkind · Omri Barak
[ Slides [ Video
Oral
Tue Jun 11 03:15 PM -- 03:20 PM (PDT) @ Room 201
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
Philipp Becker · Harit Pandya · Gregor Gebhardt · Cheng Zhao · C. James Taylor · Gerhard Neumann
[ Slides [ Video