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