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(20 events)   Time zone: Conference local time zone  
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Oral
Tue Dec 09 09:50 AM -- 10:10 AM (EST) @ Level 2, room 210
Provable Submodular Minimization using Wolfe's Algorithm
In Oral Session 1
Deeparnab Chakrabarty · Prateek Jain · Pravesh Kothari
Oral
Tue Dec 09 11:00 AM -- 11:20 AM (EST) @ Level 2, room 210
Median Selection Subset Aggregation for Parallel Inference
In Oral Session 2
Xiangyu Wang · Peichao Peng · David B Dunson
Oral
Tue Dec 09 11:20 AM -- 11:40 AM (EST) @ Level 2, room 210
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
In Oral Session 2
Anshumali Shrivastava · Ping Li
Oral
Tue Dec 09 02:50 PM -- 03:10 PM (EST) @ Level 2, room 210
Analog Memories in a Balanced Rate-Based Network of E-I Neurons
In Oral Session 3
Dylan Festa · Guillaume Hennequin · Mate Lengyel
Oral
Tue Dec 09 03:10 PM -- 03:30 PM (EST) @ Level 2, room 210
Feedforward Learning of Mixture Models
In Oral Session 3
Matthew Lawlor · Steven W Zucker
Oral
Tue Dec 09 04:20 PM -- 04:40 PM (EST) @ Level 2, room 210
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
In Oral Session 4
Waleed Ammar · Chris Dyer · Noah A Smith
Oral
Tue Dec 09 04:40 PM -- 05:00 PM (EST) @ Level 2, room 210
Learning Generative Models with Visual Attention
In Oral Session 4
Yichuan Charlie Tang · Nitish Srivastava · Russ Salakhutdinov
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
Oral
Tue Dec 09 05:20 PM -- 05:40 PM (EST) @ Level 2, room 210
How transferable are features in deep neural networks?
In Oral Session 4
Jason Yosinski · Jeff Clune · Yoshua Bengio · Hod Lipson
Oral
Wed Dec 10 09:50 AM -- 10:10 AM (EST) @ Level 2, room 210
Sparse Polynomial Learning and Graph Sketching
In Oral Session 5
Murat Kocaoglu · Karthikeyan Shanmugam · Alex Dimakis · Adam Klivans
Oral
Wed Dec 10 11:00 AM -- 11:20 AM (EST) @ Level 2, room 210
Combinatorial Pure Exploration of Multi-Armed Bandits
In Oral Session 6
Shouyuan Chen · Tian Lin · Irwin King · Michael R Lyu · Wei Chen
Oral
Wed Dec 10 11:20 AM -- 11:40 AM (EST) @ Level 2, room 210
From Stochastic Mixability to Fast Rates
In Oral Session 6
Nishant Mehta · Robert Williamson
Oral
Wed Dec 10 02:50 PM -- 03:10 PM (EST) @ Level 2, room 210
"How hard is my MDP?" The distribution-norm to the rescue
In Oral Session 7
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor
Oral
Wed Dec 10 03:10 PM -- 03:30 PM (EST) @ Level 2, room 210
On Communication Cost of Distributed Statistical Estimation and Dimensionality
In Oral Session 7
Ankit Garg · Tengyu Ma · Huy Nguyen
Oral
Wed Dec 10 04:20 PM -- 04:40 PM (EST) @ Level 2, room 210
A* Sampling
In Oral Session 8
Chris Maddison · Danny Tarlow · Tom Minka
Oral
Wed Dec 10 04:40 PM -- 05:00 PM (EST) @ Level 2, room 210
Asynchronous Anytime Sequential Monte Carlo
In Oral Session 8
Brooks Paige · Frank Wood · Arnaud Doucet · Yee Whye Teh
Oral
Wed Dec 10 05:00 PM -- 05:20 PM (EST) @ Level 2, room 210
Probabilistic ODE Solvers with Runge-Kutta Means
In Oral Session 8
Michael Schober · David Duvenaud · Philipp Hennig
Oral
Wed Dec 10 05:20 PM -- 05:40 PM (EST) @ Level 2, room 210
A Wild Bootstrap for Degenerate Kernel Tests
In Oral Session 8
Kacper P Chwialkowski · Dino Sejdinovic · Arthur Gretton
Oral
Thu Dec 11 09:50 AM -- 10:10 AM (EST) @ Level 2, room 210
Clamping Variables and Approximate Inference
In Oral Session 9
Adrian Weller · Tony Jebara
Oral
Thu Dec 11 11:40 AM -- 12:00 PM (EST) @ Level 2, room 210
A Statistical Decision-Theoretic Framework for Social Choice
In Oral Session 10
Hossein Azari Soufiani · David Parkes · Lirong Xia