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