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(39 events)   Timezone: America/New_York  
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Poster
Mon Dec 08 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
In Poster Session and Reception
Brendan McMahan · Matthew Streeter
[ PDF] 
Poster
Mon Dec 08 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Learning the Learning Rate for Prediction with Expert Advice
In Poster Session and Reception
Wouter M Koolen · Tim van Erven · Peter Grünwald
[ PDF] 
Poster
Mon Dec 08 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Online Decision-Making in General Combinatorial Spaces
In Poster Session and Reception
Arun Rajkumar · Shivani Agarwal
[ PDF] 
Poster
Mon Dec 08 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Pre-training of Recurrent Neural Networks via Linear Autoencoders
In Poster Session and Reception
Luca Pasa · Alessandro Sperduti
[ PDF] 
Poster
Mon Dec 08 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
In Poster Session and Reception
Yuancheng Zhu · John Lafferty
[ PDF] 
Spotlight
Tue Dec 09 11:40 AM -- 12:00 PM (EST) @ Level 2, room 210
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
In Spotlight Session 2: Large scale learning spotlights
Guangcan Liu · Ping Li
Spotlight
Tue Dec 09 03:30 PM -- 03:50 PM (EST) @ Level 2, room 210
A Bayesian model for identifying hierarchically organised states in neural population activity
In Spotlight Session 3: Neuroscience and Neural Coding spotlights
Patrick Putzky · Florian Franzen · Giacomo Bassetto · Jakob H Macke
Spotlight
Tue Dec 09 03:30 PM -- 03:50 PM (EST) @ Level 2, room 210
Sparse Space-Time Deconvolution for Calcium Image Analysis
In Spotlight Session 3: Neuroscience and Neural Coding spotlights
Ferran Diego Andilla · Fred Hamprecht
Oral
Tue Dec 09 05:00 PM -- 05:20 PM (EST) @ Level 2, room 210
Sequence to Sequence Learning with Neural Networks
In Oral Session 4
Ilya Sutskever · Oriol Vinyals · Quoc V Le
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Sequence to Sequence Learning with Neural Networks
In Poster Session
Ilya Sutskever · Oriol Vinyals · Quoc V Le
[ PDF] 
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
A Bayesian model for identifying hierarchically organised states in neural population activity
In Poster Session
Patrick Putzky · Florian Franzen · Giacomo Bassetto · Jakob H Macke
[ PDF] 
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
In Poster Session
Guangcan Liu · Ping Li
[ PDF] 
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Sparse Space-Time Deconvolution for Calcium Image Analysis
In Poster Session
Ferran Diego Andilla · Fred Hamprecht
[ PDF] 
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations
In Poster Session
Jamie Kiros · Richard Zemel · Russ Salakhutdinov
[ PDF] 
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
In Poster Session
Katerina Fragkiadaki · Marta Salas · Pablo Arbelaez · Jitendra Malik
[ PDF] 
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Metric Learning for Temporal Sequence Alignment
In Poster Session
Rémi Lajugie · Damien Garreau · Francis Bach · Sylvain Arlot
[ PDF] 
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Online combinatorial optimization with stochastic decision sets and adversarial losses
In Poster Session
Gergely Neu · Michal Valko
[ PDF] 
Poster
Tue Dec 09 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
In Poster Session
Kai Zhong · Ian En-Hsu Yen · Inderjit Dhillon · Pradeep Ravikumar
[ PDF] 
Invited Talk
Wed Dec 10 09:00 AM -- 09:50 AM (EST) @ Level 2, room 210
Networks in Climate Science
In Oral Session 5
John Carlos Baez
Spotlight
Wed Dec 10 11:40 AM -- 12:05 PM (EST) @ Level 2, room 210
Exploiting easy data in online optimization
In Spotlight Session 6: Learning theory spotlights
Amir Sani · Gergely Neu · Alessandro Lazaric
Spotlight
Wed Dec 10 05:40 PM -- 06:05 PM (EST) @ Level 2, room 210
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
In Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Michalis Titsias · Christopher Yau
Poster
Wed Dec 10 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Exploiting easy data in online optimization
In Poster Session
Amir Sani · Gergely Neu · Alessandro Lazaric
[ PDF] 
Poster
Wed Dec 10 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
In Poster Session
Michalis Titsias · Christopher Yau
[ PDF] 
Poster
Wed Dec 10 07:00 PM -- 11:59 PM (EST) @ Level 2, room 210D
Parallel Double Greedy Submodular Maximization
In Poster Session
Xinghao Pan · Stefanie Jegelka · Joseph Gonzalez · Joseph K Bradley · Michael Jordan
[ PDF] 
Spotlight
Thu Dec 11 10:10 AM -- 10:35 AM (EST) @ Level 2, room 210
Mode Estimation for High Dimensional Discrete Tree Graphical Models
In Spotlight Session 9: Graphical models spotlights, model selection
Chao Chen · Han Liu · Dimitris Metaxas · Tianqi Zhao
Spotlight
Thu Dec 11 12:00 PM -- 12:25 PM (EST) @ Level 2, room 210
Recurrent Models of Visual Attention
In Spotlight Session 10: Cognitive science spotlights
Volodymyr Mnih · Nicolas Heess · Alex Graves · koray kavukcuoglu
Spotlight
Thu Dec 11 12:00 PM -- 12:25 PM (EST) @ Level 2, room 210
Unsupervised learning of an efficient short-term memory network
In Spotlight Session 10: Cognitive science spotlights
Pietro Vertechi · Wieland Brendel · Christian Machens
Poster
Thu Dec 11 02:00 PM -- 06:00 PM (EST) @ Level 2, room 210D
Mode Estimation for High Dimensional Discrete Tree Graphical Models
In Poster Session
Chao Chen · Han Liu · Dimitris Metaxas · Tianqi Zhao
[ PDF] 
Poster
Thu Dec 11 02:00 PM -- 06:00 PM (EST) @ Level 2, room 210D
Recurrent Models of Visual Attention
In Poster Session
Volodymyr Mnih · Nicolas Heess · Alex Graves · koray kavukcuoglu
[ PDF] 
Poster
Thu Dec 11 02:00 PM -- 06:00 PM (EST) @ Level 2, room 210D
Unsupervised learning of an efficient short-term memory network
In Poster Session
Pietro Vertechi · Wieland Brendel · Christian Machens
[ PDF] 
Poster
Thu Dec 11 02:00 PM -- 06:00 PM (EST) @ Level 2, room 210D
A Filtering Approach to Stochastic Variational Inference
In Poster Session
Neil Houlsby · David Blei
[ PDF] 
Poster
Thu Dec 11 02:00 PM -- 06:00 PM (EST) @ Level 2, room 210D
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
In Poster Session
Robert Lindsey · Mohammad Khajah · Michael Mozer
[ PDF] 
Poster
Thu Dec 11 02:00 PM -- 06:00 PM (EST) @ Level 2, room 210D
Decoupled Variational Gaussian Inference
In Poster Session
Mohammad Emtiyaz Khan
[ PDF] 
Poster
Thu Dec 11 02:00 PM -- 06:00 PM (EST) @ Level 2, room 210D
Learning Shuffle Ideals Under Restricted Distributions
In Poster Session
Dongqu Chen
[ PDF] 
Poster
Thu Dec 11 02:00 PM -- 06:00 PM (EST) @ Level 2, room 210D
Sequential Monte Carlo for Graphical Models
In Poster Session
Christian Andersson Naesseth · Fredrik Lindsten · Thomas Schön
[ PDF] 
Workshop
Fri Dec 12 08:30 AM -- 06:30 PM (EST) @ 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 08:30 AM -- 06:30 PM (EST) @ Level 5; room 513 c,d
Personalization: Methods and Applications
Yisong Yue · Khalid El-Arini · Dilan Gorur
Workshop
Fri Dec 12 08:30 AM -- 06:30 PM (EST) @ 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 08:30 AM -- 06:30 PM (EST) @ Level 5, room 510 c
Networks: From Graphs to Rich Data
Edo M Airoldi · Aaron Clauset · Johan Ugander · David S Choi · Leto Peel