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Wed Dec 10 04:30 AM -- 02:30 PM (PST)
Registration Desk
Invited Talk
Wed Dec 10 06:00 AM -- 06:50 AM (PST) @ Level 2, room 210
Networks in Climate Science
In Oral Session 5
John Carlos Baez
Session
Wed Dec 10 06:00 AM -- 07:10 AM (PST) @ Level 2, room 210
Oral Session 5
Byron M Yu
Oral
Wed Dec 10 06:50 AM -- 07:10 AM (PST) @ Level 2, room 210
Sparse Polynomial Learning and Graph Sketching
In Oral Session 5
Murat Kocaoglu · Karthikeyan Shanmugam · Alex Dimakis · Adam Klivans
Session
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Spotlight Session 5: Regression and time series spotlights
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
In Spotlight Session 5: Regression and time series spotlights
Yuchen Zhang · Xi Chen · Denny Zhou · Michael Jordan
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
In Spotlight Session 5: Regression and time series spotlights
Mohammad Taha Bahadori · Qi (Rose) Yu · Yan Liu
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Fast and Robust Least Squares Estimation in Corrupted Linear Models
In Spotlight Session 5: Regression and time series spotlights
Brian McWilliams · Gabriel Krummenacher · Mario Lucic · Joachim M Buhmann
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Unsupervised Transcription of Piano Music
In Spotlight Session 5: Regression and time series spotlights
Taylor Berg-Kirkpatrick · Jacob Andreas · Dan Klein
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs
In Spotlight Session 5: Regression and time series spotlights
Miles Lopes
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Non-convex Robust PCA
In Spotlight Session 5: Regression and time series spotlights
Praneeth Netrapalli · Niranjan Uma Naresh · Sujay Sanghavi · Animashree Anandkumar · Prateek Jain
Break
Wed Dec 10 07:30 AM -- 09:00 AM (PST) @ Montreal Convention Center, Level 2, Room 220AB
Breakfast
Invited Talk (Posner Lecture)
Wed Dec 10 07:50 AM -- 08:40 AM (PST) @ Level 2, room 210
Games, Networks, and People
In Oral Session 10
Michael Kearns
Oral
Wed Dec 10 08:00 AM -- 08:20 AM (PST) @ 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
Session
Wed Dec 10 08:00 AM -- 08:40 AM (PST) @ Level 2, room 210
Oral Session 6
Mehryar Mohri
Oral
Wed Dec 10 08:20 AM -- 08:40 AM (PST) @ Level 2, room 210
From Stochastic Mixability to Fast Rates
In Oral Session 6
Nishant Mehta · Robert Williamson
Session
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Spotlight Session 6: Learning theory spotlights
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
The limits of squared Euclidean distance regularization
In Spotlight Session 6: Learning theory spotlights
Michal Derezinski · Manfred K. Warmuth
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Beyond Disagreement-Based Agnostic Active Learning
In Spotlight Session 6: Learning theory spotlights
Chicheng Zhang · Kamalika Chaudhuri
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ 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 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Learning Mixtures of Ranking Models
In Spotlight Session 6: Learning theory spotlights
Pranjal Awasthi · Avrim Blum · Or Sheffet · Aravindan Vijayaraghavan
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
In Spotlight Session 6: Learning theory spotlights
Mehryar Mohri · Andres Munoz
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Rates of Convergence for Nearest Neighbor Classification
In Spotlight Session 6: Learning theory spotlights
Kamalika Chaudhuri · Sanjoy Dasgupta
Break
Wed Dec 10 10:30 AM -- 11:00 AM (PST)
Coffee Break
Invited Talk (Posner Lecture)
Wed Dec 10 11:00 AM -- 11:50 AM (PST) @ Level 2, room 210
Using the Emergent Dynamics of Attractor Networks for Computation
In Oral Session 7
John J. Hopfield
Session
Wed Dec 10 11:00 AM -- 12:30 PM (PST) @ Level 2, room 210
Oral Session 7
Geoffrey Gordon
Oral
Wed Dec 10 11:50 AM -- 12:10 PM (PST) @ 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
Break
Wed Dec 10 12:05 PM -- 02:00 PM (PST)
Lunch Break
Oral
Wed Dec 10 12:10 PM -- 12:30 PM (PST) @ Level 2, room 210
On Communication Cost of Distributed Statistical Estimation and Dimensionality
In Oral Session 7
Ankit Garg · Tengyu Ma · Huy Nguyen
Session
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Spotlight Session 7: Reinforcement learning spotlights
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
In Spotlight Session 7: Reinforcement learning spotlights
Marek Petrik · Dharmashankar Subramanian
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Difference of Convex Functions Programming for Reinforcement Learning
In Spotlight Session 7: Reinforcement learning spotlights
Bilal Piot · Matthieu Geist · Olivier Pietquin
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
In Spotlight Session 7: Reinforcement learning spotlights
Maximilian Nickel · Xueyan Jiang · Volker Tresp
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Near-optimal Reinforcement Learning in Factored MDPs
In Spotlight Session 7: Reinforcement learning spotlights
Ian Osband · Benjamin Van Roy
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
In Spotlight Session 7: Reinforcement learning spotlights
Sergey Levine · Pieter Abbeel
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Optimizing Energy Production Using Policy Search and Predictive State Representations
In Spotlight Session 7: Reinforcement learning spotlights
Yuri Grinberg · Doina Precup · Michel Gendreau
Oral
Wed Dec 10 01:20 PM -- 01:40 PM (PST) @ Level 2, room 210
A* Sampling
In Oral Session 8
Chris Maddison · Danny Tarlow · Tom Minka
Session
Wed Dec 10 01:20 PM -- 02:40 PM (PST) @ Level 2, room 210
Oral Session 8
Sanjiv Kumar
Oral
Wed Dec 10 01:40 PM -- 02:00 PM (PST) @ 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 02:00 PM -- 02:20 PM (PST) @ 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 02:20 PM -- 02:40 PM (PST) @ Level 2, room 210
A Wild Bootstrap for Degenerate Kernel Tests
In Oral Session 8
Kacper P Chwialkowski · Dino Sejdinovic · Arthur Gretton
Session
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Extended and Unscented Gaussian Processes
In Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Daniel M Steinberg · Edwin Bonilla
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Consistent Binary Classification with Generalized Performance Metrics
In Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
(Almost) No Label No Cry
In Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Giorgio Patrini · Richard Nock · Tiberio Caetano · Paul Rivera
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Tree-structured Gaussian Process Approximations
In Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Thang Bui · Richard Turner
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
In Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Minh Ha Quang · Marco San Biagio · Vittorio Murino
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Robust Classification Under Sample Selection Bias
In Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Anqi Liu · Brian Ziebart
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ 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
Break
Wed Dec 10 03:50 PM -- 04:20 PM (PST)
Coffee Break
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Unsupervised Transcription of Piano Music
In Demonstrations
Taylor Berg-Kirkpatrick · Jacob Andreas · Dan Klein
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
A Visual and Interactive IDE for Probabilistic Programming
In Demonstrations
Sameer Singh · Luke Hewitt · Tim Rocktäschel · Sebastian Riedel
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
A 3D Simulator for Evaluating Reinforcement and Imitation Learning Algorithms on Complex Tasks
In Demonstrations
Leonidas Lefakis · François Fleuret · Cijo Jose
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
SmartWheeler – A smart robotic wheelchair platform
In Demonstrations
Martin Gerdzhev · Joelle Pineau · Angus Leigh · Andrew Sutcliffe
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
ICE: Interactive Classification and Entity Extraction
In Demonstrations
Patrice Simard · Max Chickering · Aparna Lakshmiratan · Carlos Garcia Jurado Suarez · Saleema Amershi · Johan Verwey · Jina Suh
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Learning for Tactile Manipulation
In Demonstrations
Tucker Hermans · Filipe Veiga · Janine Hölscher · Herke van Hoof · Jan Peters
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
In Poster Session
Ricardo Henao · Xin Yuan · Lawrence Carin
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment
In Poster Session
Sahar Akram · Jonathan Z Simon · Shihab A Shamma · Behtash Babadi
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Active Learning and Best-Response Dynamics
In Poster Session
Maria-Florina F Balcan · Christopher Berlind · Avrim Blum · Emma Cohen · Kaushik Patnaik · Le Song
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Altitude Training: Strong Bounds for Single-Layer Dropout
In Poster Session
Stefan Wager · William S Fithian · Sida Wang · Percy Liang
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation
In Poster Session
Eran Treister · Javier S Turek
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Analysis of Learning from Positive and Unlabeled Data
In Poster Session
Marthinus C du Plessis · Gang Niu · Masashi Sugiyama
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
In Poster Session
Somdeb Sarkhel · Deepak Venugopal · Parag Singla · Vibhav Gogate
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
In Poster Session
Bahadir Ozdemir · Larry Davis
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Boosting Framework on Grounds of Online Learning
In Poster Session
Tofigh Naghibi Mohamadpoor · Beat Pfister
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
In Poster Session
Yuchen Zhang · Xi Chen · Denny Zhou · Michael Jordan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Unsupervised Transcription of Piano Music
In Poster Session
Taylor Berg-Kirkpatrick · Jacob Andreas · Dan Klein
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Drifting-Games Analysis for Online Learning and Applications to Boosting
In Poster Session
Haipeng Luo · Robert E Schapire
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tree-structured Gaussian Process Approximations
In Poster Session
Thang Bui · Richard Turner
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs
In Poster Session
Miles Lopes
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Classification Under Sample Selection Bias
In Poster Session
Anqi Liu · Brian Ziebart
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The limits of squared Euclidean distance regularization
In Poster Session
Michal Derezinski · Manfred K. Warmuth
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Rates of Convergence for Nearest Neighbor Classification
In Poster Session
Kamalika Chaudhuri · Sanjoy Dasgupta
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
In Poster Session
Marek Petrik · Dharmashankar Subramanian
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
In Poster Session
Mehryar Mohri · Andres Munoz
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Non-convex Robust PCA
In Poster Session
Praneeth Netrapalli · Niranjan Uma Naresh · Sujay Sanghavi · Animashree Anandkumar · Prateek Jain
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-optimal Reinforcement Learning in Factored MDPs
In Poster Session
Ian Osband · Benjamin Van Roy
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
In Poster Session
Maximilian Nickel · Xueyan Jiang · Volker Tresp
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixtures of Ranking Models
In Poster Session
Pranjal Awasthi · Avrim Blum · Or Sheffet · Aravindan Vijayaraghavan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
In Poster Session
Minh Ha Quang · Marco San Biagio · Vittorio Murino
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ 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 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast and Robust Least Squares Estimation in Corrupted Linear Models
In Poster Session
Brian McWilliams · Gabriel Krummenacher · Mario Lucic · Joachim M Buhmann
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extended and Unscented Gaussian Processes
In Poster Session
Daniel M Steinberg · Edwin Bonilla
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
In Poster Session
Mohammad Taha Bahadori · Qi (Rose) Yu · Yan Liu
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exploiting easy data in online optimization
In Poster Session
Amir Sani · Gergely Neu · Alessandro Lazaric
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Difference of Convex Functions Programming for Reinforcement Learning
In Poster Session
Bilal Piot · Matthieu Geist · Olivier Pietquin
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Beyond Disagreement-Based Agnostic Active Learning
In Poster Session
Chicheng Zhang · Kamalika Chaudhuri
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Polynomial Learning and Graph Sketching
In Poster Session
Murat Kocaoglu · Karthikeyan Shanmugam · Alex Dimakis · Adam Klivans
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
How transferable are features in deep neural networks?
In Poster Session
Jason Yosinski · Jeff Clune · Yoshua Bengio · Hod Lipson
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic ODE Solvers with Runge-Kutta Means
In Poster Session
Michael Schober · David Duvenaud · Philipp Hennig
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Communication Cost of Distributed Statistical Estimation and Dimensionality
In Poster Session
Ankit Garg · Tengyu Ma · Huy Nguyen
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Asynchronous Anytime Sequential Monte Carlo
In Poster Session
Brooks Paige · Frank Wood · Arnaud Doucet · Yee Whye Teh
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
"How hard is my MDP?" The distribution-norm to the rescue
In Poster Session
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A* Sampling
In Poster Session
Chris Maddison · Danny Tarlow · Tom Minka
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Wild Bootstrap for Degenerate Kernel Tests
In Poster Session
Kacper P Chwialkowski · Dino Sejdinovic · Arthur Gretton
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistent Binary Classification with Generalized Performance Metrics
In Poster Session
Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Combinatorial Pure Exploration of Multi-Armed Bandits
In Poster Session
Shouyuan Chen · Tian Lin · Irwin King · Michael R Lyu · Wei Chen
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
From Stochastic Mixability to Fast Rates
In Poster Session
Nishant Mehta · Robert Williamson
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feature Cross-Substitution in Adversarial Classification
In Poster Session
Bo Li · Yevgeniy Vorobeychik
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
New Rules for Domain Independent Lifted MAP Inference
In Poster Session
Happy Mittal · Prasoon Goyal · Vibhav Gogate · Parag Singla
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
(Almost) No Label No Cry
In Poster Session
Giorgio Patrini · Richard Nock · Tiberio Caetano · Paul Rivera
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Prediction for Large-Scale Kernel Machines
In Poster Session
Cho-Jui Hsieh · Si Si · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Convolutional Neural Network for Image Deconvolution
In Poster Session
Li Xu · Jimmy S. Ren · Ce Liu · Jiaya Jia
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Blinded Bandit: Learning with Adaptive Feedback
In Poster Session
Ofer Dekel · Elad Hazan · Tomer Koren
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Testing Unfaithful Gaussian Graphical Models
In Poster Session
De Wen Soh · Sekhar C Tatikonda
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Network Design in Bidirected Trees
In Poster Session
Xiaojian Wu · Daniel Sheldon · Shlomo Zilberstein
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
In Poster Session
Mingjun Zhong · Nigel Goddard · Charles Sutton
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods for Indian Buffet Process Inference
In Poster Session
Hsiao-Yu Tung · Alexander Smola
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods for Supervised Topic Models
In Poster Session
Yining Wang · Jun Zhu
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Clustering of graphs with the Bethe Hessian
In Poster Session
Alaa Saade · Florent Krzakala · Lenka Zdeborová
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Learning of Mixture of Hidden Markov Models
In Poster Session
Cem Subakan · Johannes Traa · Paris Smaragdis
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
In Poster Session
Ian En-Hsu Yen · Ting-Wei Lin · Shou-De Lin · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scaling-up Importance Sampling for Markov Logic Networks
In Poster Session
Deepak Venugopal · Vibhav Gogate
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Provable Tensor Factorization with Missing Data
In Poster Session
Prateek Jain · Sewoong Oh
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Positive Curvature and Hamiltonian Monte Carlo
In Poster Session
Christof Seiler · Simon Rubinstein-Salzedo · Susan Holmes
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision
In Poster Session
Deepti Pachauri · Risi Kondor · Gautam Sargur · Vikas Singh
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Logistic Regression and Classification
In Poster Session
Jiashi Feng · Huan Xu · Shie Mannor · Shuicheng Yan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
In Poster Session
Harikrishna Narasimhan · Rohit Vaish · Shivani Agarwal
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimizing F-Measures by Cost-Sensitive Classification
In Poster Session
Shameem Puthiya Parambath · Nicolas Usunier · Yves Grandvalet
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Information Theoretic Limits of Learning Ising Models
In Poster Session
Rashish Tandon · Karthikeyan Shanmugam · Pradeep Ravikumar · Alex Dimakis
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Double Greedy Submodular Maximization
In Poster Session
Xinghao Pan · Stefanie Jegelka · Joseph Gonzalez · Joseph K Bradley · Michael Jordan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Neural Word Embedding as Implicit Matrix Factorization
In Poster Session
Omer Levy · Yoav Goldberg
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-scale Graphical Models for Spatio-Temporal Processes
In Poster Session
Firdaus Janoos · Huseyin Denli · Niranjan Subrahmanya
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-optimal sample compression for nearest neighbors
In Poster Session
Lee-Ad Gottlieb · Aryeh Kontorovich · Pinhas Nisnevitch
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multivariate f-divergence Estimation With Confidence
In Poster Session
Kevin Moon · Alfred Hero
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Class Deep Boosting
In Poster Session
Vitaly Kuznetsov · Mehryar Mohri · Umar Syed
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Resolution Cascades for Multiclass Object Detection
In Poster Session
Ehsan Saberian · Nuno Vasconcelos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Scale Spectral Decomposition of Massive Graphs
In Poster Session
Si Si · Donghyuk Shin · Inderjit Dhillon · Beresford N Parlett
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low Rank Approximation Lower Bounds in Row-Update Streams
In Poster Session
David Woodruff
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Optimize via Information-Directed Sampling
In Poster Session
Daniel Russo · Benjamin Van Roy
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Search in Branch and Bound Algorithms
In Poster Session
He He · Hal Daumé III · Jason Eisner
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low-Rank Time-Frequency Synthesis
In Poster Session
Cédric Févotte · Matthieu Kowalski
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning with Pseudo-Ensembles
In Poster Session
Philip Bachman · Ouais Alsharif · Doina Precup
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Latent Support Measure Machines for Bag-of-Words Data Classification
In Poster Session
Yuya Yoshikawa · Tomoharu Iwata · Hiroshi Sawada
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Large-Margin Convex Polytope Machine
In Poster Session
Alex Kantchelian · Michael C Tschantz · Ling Huang · Peter Bartlett · Anthony D Joseph · J. D. Tygar
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Global Sensitivity Analysis for MAP Inference in Graphical Models
In Poster Session
Jasper De Bock · Cassio P de Campos · Alessandro Antonucci
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
In Poster Session
Yann N Dauphin · Razvan Pascanu · Caglar Gulcehre · Kyunghyun Cho · Surya Ganguli · Yoshua Bengio
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion
In Poster Session
Yuanyuan Liu · Fanhua Shang · Wei Fan · James Cheng · Hong Cheng
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exponential Concentration of a Density Functional Estimator
In Poster Session
Shashank Singh · Barnabas Poczos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
From MAP to Marginals: Variational Inference in Bayesian Submodular Models
In Poster Session
Josip Djolonga · Andreas Krause
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Estimation with Norm Regularization
In Poster Session
Arindam Banerjee · Sheng Chen · Farideh Fazayeli · Vidyashankar Sivakumar
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient learning by implicit exploration in bandit problems with side observations
In Poster Session
Tomáš Kocák · Gergely Neu · Michal Valko · Remi Munos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Structured Matrix Rank Minimization
In Poster Session
Adams Wei Yu · Wanli Ma · Yaoliang Yu · Jaime Carbonell · Suvrit Sra
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Minimax Signal Detection on Graphs
In Poster Session
Jing Qian · Venkatesh Saligrama
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Do Deep Nets Really Need to be Deep?
In Poster Session
Jimmy Ba · Rich Caruana
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Sampling for Learning Sparse Additive Models in High Dimensions
In Poster Session
Hemant Tyagi · Bernd Gärtner · Andreas Krause
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distance-Based Network Recovery under Feature Correlation
In Poster Session
David Adametz · Volker Roth
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Decomposing Parameter Estimation Problems
In Poster Session
Khaled Refaat · Arthur Choi · Adnan Darwiche
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deterministic Symmetric Positive Semidefinite Matrix Completion
In Poster Session
William E Bishop · Byron M Yu
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
In Poster Session
Charles Y Zheng · Franco Pestilli · Ariel Rokem
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convex Deep Learning via Normalized Kernels
In Poster Session
Özlem Aslan · Xinhua Zhang · Dale Schuurmans
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Constrained convex minimization via model-based excessive gap
In Poster Session
Quoc Tran-Dinh · Volkan Cevher
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayes-Adaptive Simulation-based Search with Value Function Approximation
In Poster Session
Arthur Guez · Nicolas Heess · David Silver · Peter Dayan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimizing Energy Production Using Policy Search and Predictive State Representations
In Poster Session
Yuri Grinberg · Doina Precup · Michel Gendreau
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Best-Arm Identification in Linear Bandits
In Poster Session
Marta Soare · Alessandro Lazaric · Remi Munos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Active Regression by Stratification
In Poster Session
Sivan Sabato · Remi Munos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayesian Inference for Structured Spike and Slab Priors
In Poster Session
Michael Riis Andersen · Ole Winther · Lars K Hansen
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bounded Regret for Finite-Armed Structured Bandits
In Poster Session
Tor Lattimore · Remi Munos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
In Poster Session
Sergey Levine · Pieter Abbeel
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
In Poster Session
Francesco Orabona
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
In Poster Session
Tom Gunter · Michael A Osborne · Roman Garnett · Philipp Hennig · Stephen J Roberts
[ PDF] 
Session
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Demonstrations
Session
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Poster Session