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(39 events)   Timezone:  
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
Brendan McMahan · Matthew Streeter
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning the Learning Rate for Prediction with Expert Advice
Wouter M Koolen · Tim van Erven · Peter Grünwald
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online Decision-Making in General Combinatorial Spaces
Arun Rajkumar · Shivani Agarwal
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Pre-training of Recurrent Neural Networks via Linear Autoencoders
Luca Pasa · Alessandro Sperduti
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
Yuancheng Zhu · John Lafferty
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Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
Guangcan Liu · Ping Li
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
A Bayesian model for identifying hierarchically organised states in neural population activity
Patrick Putzky · Florian Franzen · Giacomo Bassetto · Jakob H Macke
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Sparse Space-Time Deconvolution for Calcium Image Analysis
Ferran Diego Andilla · Fred Hamprecht
Oral
Tue Dec 09 02:00 PM -- 02:20 PM (PST) @ Level 2, room 210
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever · Oriol Vinyals · Quoc V Le
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever · Oriol Vinyals · Quoc V Le
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Bayesian model for identifying hierarchically organised states in neural population activity
Patrick Putzky · Florian Franzen · Giacomo Bassetto · Jakob H Macke
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
Guangcan Liu · Ping Li
[ PDF
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Space-Time Deconvolution for Calcium Image Analysis
Ferran Diego Andilla · Fred Hamprecht
[ PDF
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations
Jamie Kiros · Richard Zemel · Russ Salakhutdinov
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
Katerina Fragkiadaki · Marta Salas · Pablo Arbelaez · Jitendra Malik
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Metric Learning for Temporal Sequence Alignment
Rémi Lajugie · Damien Garreau · Francis Bach · Sylvain Arlot
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online combinatorial optimization with stochastic decision sets and adversarial losses
Gergely Neu · Michal Valko
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
Kai Zhong · Ian En-Hsu Yen · Inderjit Dhillon · Pradeep Ravikumar
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Invited Talk
Wed Dec 10 06:00 AM -- 06:50 AM (PST) @ Level 2, room 210
Networks in Climate Science
John Carlos Baez
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Exploiting easy data in online optimization
Amir Sani · Gergely Neu · Alessandro Lazaric
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
Michalis Titsias · Christopher Yau
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exploiting easy data in online optimization
Amir Sani · Gergely Neu · Alessandro Lazaric
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Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
Michalis Titsias · Christopher Yau
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Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Double Greedy Submodular Maximization
Xinghao Pan · Stefanie Jegelka · Joseph Gonzalez · Joseph K Bradley · Michael Jordan
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Spotlight
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Mode Estimation for High Dimensional Discrete Tree Graphical Models
Chao Chen · Han Liu · Dimitris Metaxas · Tianqi Zhao
Spotlight
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Recurrent Models of Visual Attention
Volodymyr Mnih · Nicolas Heess · Alex Graves · koray kavukcuoglu
Spotlight
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Unsupervised learning of an efficient short-term memory network
Pietro Vertechi · Wieland Brendel · Christian Machens
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Mode Estimation for High Dimensional Discrete Tree Graphical Models
Chao Chen · Han Liu · Dimitris Metaxas · Tianqi Zhao
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recurrent Models of Visual Attention
Volodymyr Mnih · Nicolas Heess · Alex Graves · koray kavukcuoglu
[ PDF
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised learning of an efficient short-term memory network
Pietro Vertechi · Wieland Brendel · Christian Machens
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Filtering Approach to Stochastic Variational Inference
Neil Houlsby · David Blei
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
Robert Lindsey · Mohammad Khajah · Michael Mozer
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Decoupled Variational Gaussian Inference
Mohammad Emtiyaz Khan
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Shuffle Ideals Under Restricted Distributions
Dongqu Chen
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sequential Monte Carlo for Graphical Models
Christian Andersson Naesseth · Fredrik Lindsten · Thomas Schön
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Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 514 a, b
Large scale optical physiology: From data-acquisition to models of neural coding
Il Memming Park · Jakob H Macke · Ferran Diego Andilla · Eftychios Pnevmatikakis · Jeremy Freeman
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 513 c,d
Personalization: Methods and Applications
Yisong Yue · Khalid El-Arini · Dilan Gorur
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 510 c
Modern Machine Learning and Natural Language Processing
Ankur P Parikh · Avneesh Saluja · Chris Dyer · Eric Xing
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 510 c
Networks: From Graphs to Rich Data
Edo M Airoldi · Aaron Clauset · Johan Ugander · David S Choi · Leto Peel