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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Factor Modeling for Advertisement Targeting
Ye Chen · Michael Kapralov · Dmitry Pavlov · John Canny
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
Shuheng Zhou
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient and Accurate Lp-Norm Multiple Kernel Learning
Marius Kloft · Ulf Brefeld · Soeren Sonnenburg · Pavel Laskov · Klaus-Robert Müller · Alexander Zien
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
Ruben Coen-Cagli · Peter Dayan · Odelia Schwartz
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Additive Latent Feature Model for Transparent Object Recognition
Mario J Fritz · Michael J Black · Gary R Bradski · Trevor Darrell
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Directed Regression
Edward Kao · Benjamin Van Roy · Xiang Yan
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient Bregman Range Search
Lawrence Cayton
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Analysis of SVM with Indefinite Kernels
Yiming Ying · Colin I Campbell · Mark A Girolami
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
Arnak Dalalyan · Renaud Keriven
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Kernels and learning curves for Gaussian process regression on random graphs
Peter Sollich · Matthew J Urry · Camille Coti
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A General Projection Property for Distribution Families
Yao-Liang Yu · Yuxi Li · Dale Schuurmans · Csaba Szepesvari
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning to Explore and Exploit in POMDPs
Chenghui Cai · Xuejun Liao · Lawrence Carin
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Subject independent EEG-based BCI decoding
Siamac Fazli · Cristian Grozea · Márton Danóczy · Benjamin Blankertz · Florin Popescu · Klaus-Robert Müller
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
Kwang In Kim · Florian Steinke · Matthias Hein
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Time-Varying Dynamic Bayesian Networks
Le Song · Mladen Kolar · Eric Xing
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Local Rules for Global MAP: When Do They Work ?
Kyomin Jung · Pushmeet Kohli · Devavrat Shah
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Bayesian Sparse Factor Models and DAGs Inference and Comparison
Ricardo Henao · Ole Winther
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Online Learning of Assignments
Matt Streeter · Daniel Golovin · Andreas Krause
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Noisy Generalized Binary Search
Rob Nowak
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Multi-Label Prediction via Compressed Sensing
Daniel Hsu · Sham M Kakade · John Langford · Tong Zhang
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient Recovery of Jointly Sparse Vectors
Liang Sun · Jun Liu · Jianhui Chen · Jieping Ye
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Slow Learners are Fast
Martin A Zinkevich · Alex Smola · John Langford
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning in Markov Random Fields using Tempered Transitions
Russ Salakhutdinov
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Boosting with Spatial Regularization
Zhen James Xiang · Yongxin Xi · Uri Hasson · Peter J Ramadge
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonparametric Greedy Algorithms for the Sparse Learning Problem
Han Liu · Xi Chen
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
STDP enables spiking neurons to detect hidden causes of their inputs
Bernhard Nessler · Michael Pfeiffer · Wolfgang Maass
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
Bangpeng Yao · Dirk B Walther · Diane M Beck · Fei-Fei Li
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
Feng Yan · Ningyi XU · Alan Qi
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
Chonghai Hu · James Kwok · Weike Pan
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
Yusuke Watanabe · Kenji Fukumizu
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
The Infinite Partially Observable Markov Decision Process
Finale P Doshi-Velez
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Robust Value Function Approximation Using Bilinear Programming
Marek Petrik · Shlomo Zilberstein
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
Alexandre Bouchard-Côté · Slav Petrov · Dan Klein
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Riffled Independence for Ranked Data
Jonathan Huang · Carlos Guestrin
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Clustering sequence sets for motif discovery
Jong Kyoung Kim · Seungjin Choi
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning Non-Linear Combinations of Kernels
Corinna Cortes · Mehryar Mohri · Afshin Rostamizadeh
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Discriminative Network Models of Schizophrenia
Guillermo Cecchi · Irina Rish · Benjamin Thyreau · Bertrand Thirion · Marion Plaze · Jean-Luc Martinot · Marie Laure Paillere-Martinot · Jean-Baptiste Poline
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Data-driven calibration of linear estimators with minimal penalties
Sylvain Arlot · Francis Bach
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
Wenming Zheng · Zhouchen Lin
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adapting to the Shifting Intent of Search Queries
Umar Syed · Alex Slivkins Slivkins · Nina Mishra
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear Learning using Local Coordinate Coding
Kai Yu · Tong Zhang · Yihong Gong
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
Edward Vul · Michael C Frank · George Alvarez · Josh Tenenbaum
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
Peter Orbanz
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Maximum likelihood trajectories for continuous-time Markov chains
Theodore Perkins
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Submodularity Cuts and Applications
Yoshinobu Kawahara · Kiyohito Nagano · Koji Tsuda · Jeff Bilmes
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Measuring Invariances in Deep Networks
Ian Goodfellow · Quoc V. Le · Andrew M Saxe · Andrew Y Ng
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Indian Buffet Processes with Power-law Behavior
Yee Whye Teh · DILAN Gorur
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Filtering Abstract Senses From Image Search Results
Kate Saenko · Trevor Darrell
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
Matthias Seeger
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Regularized Distance Metric Learning:Theory and Algorithm
Rong Jin · Shijun Wang · Yang Zhou
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
Sahand N Negahban · Pradeep Ravikumar · Martin J Wainwright · Bin Yu
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
Aurelie Lozano · Grzegorz M Swirszcz · Naoki Abe
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Group Sparse Coding
Samy Bengio · Fernando Pereira · Yoram Singer · Dennis Strelow
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
No evidence for active sparsification in the visual cortex
Pietro Berkes · Ben White · Jozsef Fiser
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speaker Comparison with Inner Product Discriminant Functions
William Campbell · Zahi N Karam · Douglas Sturim
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
Lei Wu · Rong Jin · Steven Chu-Hong Hoi · Jianke Zhu · Nenghai Yu
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Mingyuan Zhou · Haojun Chen · John Paisley · Lu Ren · Guillermo Sapiro · Lawrence Carin
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Locality-sensitive binary codes from shift-invariant kernels
Maxim Raginsky · Svetlana Lazebnik
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
Roy Anati · Kostas Daniilidis
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A joint maximum-entropy model for binary neural population patterns and continuous signals
Sebastian Gerwinn · Philipp Berens · Matthias Bethge
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
Miguel Lazaro-Gredilla · Anibal R Figueiras-Vidal
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adaptive Design Optimization in Experiments with People
Daniel Cavagnaro · Mark Pitt · Jay Myung
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
Anne Hsu · Tom Griffiths
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
Tomasz Malisiewicz · Alexei A Efros
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linear-time Algorithms for Pairwise Statistical Problems
Pari Ram · Dongryeol Lee · Bill B March · Alexander Gray
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Conditional Random Fields with High-Order Features for Sequence Labeling
Nan Ye · Wee Sun Lee · Hai Leong Chieu · Dan Wu
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Probabilistic Relational PCA
Wu-Jun Li · Dit-Yan Yeung · Zhihua Zhang
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linearly constrained Bayesian matrix factorization for blind source separation
Mikkel N Schmidt
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Sensitivity analysis in HMMs with application to likelihood maximization
Pierre-Arnaud Coquelin · Romain Deguest · Remi Munos
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Human Rademacher Complexity
Jerry Zhu · Timothy T Rogers · Bryan R Gibson
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Exponential Family Graph Matching and Ranking
James Petterson · Tiberio Caetano · Julian J McAuley · Jin Yu
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-Supervised Learning in Gigantic Image Collections
Rob Fergus · Yair Weiss · Antonio Torralba
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
On the Convergence of the Concave-Convex Procedure
Bharath Sriperumbudur · Gert Lanckriet
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Neural Implementation of the Kalman Filter
Robert C Wilson · Leif Finkel
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Matrix Completion from Noisy Entries
Raghunandan Keshavan · Andrea Montanari · Sewoong Oh
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
3D Object Recognition with Deep Belief Nets
Vinod Nair · Geoffrey E Hinton
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
Michael Wick · Khashayar Rohanimanesh · Sameer Singh · Andrew McCallum
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
Marius Leordeanu · Martial Hebert · Rahul Sukthankar
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Smoothed Approximate Linear Program
Vijay Desai · Vivek Farias · Ciamac C Moallemi
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Fast, smooth and adaptive regression in metric spaces
Samory Kpotufe
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Unsupervised feature learning for audio classification using convolutional deep belief networks
Honglak Lee · Peter Pham · Yan Largman · Andrew Y Ng
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Abstraction and Relational learning
Charles Kemp · Alan Jern
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Efficient Interior-Point Method for Minimum-Regret Learning in Online Convex Optimization
Elad Hazan · Nimrod Megiddo
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear directed acyclic structure learning with weakly additive noise models
Robert E Tillman · Arthur Gretton · Peter Spirtes
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
Chong Wang · David Blei
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Gaussian Tree Approximation for Integer Least-Squares
Jacob Goldberger · Amir Leshem
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Compositionality of optimal control laws
Emanuel Todorov
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Label Selection on Graphs
Andrew Guillory · Jeff Bilmes
[ PDF
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
yicong meng · Bertram E Shi
[ PDF