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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
In Poster Session
Zhirong Yang · Irwin King · Zenglin Xu · Erkki Oja
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Fast, Consistent Kernel Two-Sample Test
In Poster Session
Arthur Gretton · Kenji Fukumizu · Zaid Harchaoui · Bharath Sriperumbudur
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
On Invariance in Hierarchical Models
In Poster Session
Jake Bouvrie · Lorenzo Rosasco · Tomaso Poggio
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Matrix Completion from Power-Law Distributed Samples
In Poster Session
Raghu Meka · Prateek Jain · Inderjit Dhillon
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Bayesian estimation of orientation preference maps
In Poster Session
Jakob H Macke · Sebastian Gerwinn · Leonard White · Matthias Kaschube · Matthias Bethge
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
An Online Algorithm for Large Scale Image Similarity Learning
In Poster Session
Gal Chechik · Uri Shalit · Varun Sharma · Samy Bengio
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
In Poster Session
Tao Hu · Anthony Leonardo · Dmitri B Chklovskii
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Semi-supervised Learning using Sparse Eigenfunction Bases
In Poster Session
Kaushik Sinha · Mikhail Belkin
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
AUC optimization and the two-sample problem
In Poster Session
Stéphan Clémençon · Nicolas Vayatis · Marine Depecker
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Positive Semidefinite Metric Learning with Boosting
In Poster Session
Chunhua Shen · Junae Kim · Lei Wang · Anton van den Hengel
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Distribution-Calibrated Hierarchical Classification
In Poster Session
Ofer Dekel
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
In Poster Session
Matthew B Blaschko · Jacquelyn A Shelton · Andreas Bartels
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Rethinking LDA: Why Priors Matter
In Poster Session
Hanna Wallach · David Mimno · Andrew McCallum
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Conditional Neural Fields
In Poster Session
Jian Peng · Liefeng Bo · Jinbo Xu
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nonparametric Latent Feature Models for Link Prediction
In Poster Session
Kurt T Miller · Tom Griffiths · Michael Jordan
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Robust Nonparametric Regression with Metric-Space Valued Output
In Poster Session
Matthias Hein
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Generalized Natural Actor-Critic Algorithm
In Poster Session
Tetsuro Morimura · Eiji Uchibe · Junichiro Yoshimoto · Kenji Doya
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning models of object structure
In Poster Session
Joseph Schlecht · Kobus Barnard
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Compressed Least-Squares Regression
In Poster Session
Odalric-Ambrym Maillard · Remi Munos
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Modelling Relational Data using Bayesian Clustered Tensor Factorization
In Poster Session
Ilya Sutskever · Russ Salakhutdinov · Josh Tenenbaum
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning a Small Mixture of Trees
In Poster Session
M. Pawan Kumar · Daphne Koller
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Polynomial Semantic Indexing
In Poster Session
Bing Bai · Jason E Weston · David Grangier · Ronan Collobert · Kunihiko Sadamasa · Yanjun Qi · Corinna Cortes · Mehryar Mohri
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
In Poster Session
Shakir Mohamed · David A Knowles · Zoubin Ghahramani · Finale P Doshi-Velez
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Which graphical models are difficult to learn?
In Poster Session
Andrea Montanari · José Bento
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Optimal Scoring for Unsupervised Learning
In Poster Session
Zhihua Zhang · guang dai
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Estimating image bases for visual image reconstruction from human brain activity
In Poster Session
Yusuke Fujiwara · Yoichi Miyawaki · Yukiyasu Kamitani
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Biologically Plausible Model for Rapid Natural Scene Identification
In Poster Session
Sennay Ghebreab · H.Scholte Steven · Victor Lamme · Arnold Smeulders
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Asymptotically Optimal Regularization in Smooth Parametric Models
In Poster Session
Percy Liang · Francis Bach · Guillaume Bouchard · Michael Jordan
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies
In Poster Session
Arno Onken · Steffen Grünewälder · Klaus H Obermayer
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Spatial Normalized Gamma Processes
In Poster Session
Vinayak Rao · Yee Whye Teh
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
In Poster Session
Yang Wang · Gholamreza Haffari · Shaojun Wang · Greg Mori
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Non-stationary continuous dynamic Bayesian networks
In Poster Session
Marco Grzegorczyk · Dirk Husmeier
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
In Poster Session
Stefan Klampfl · Wolfgang Maass
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
In Poster Session
Bryan Conroy · Ben Singer · James Haxby · Peter J Ramadge
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Streaming Pointwise Mutual Information
In Poster Session
Benjamin Van Durme · Ashwin Lall
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Free energy score space
In Poster Session
Alessandro Perina · Marco Cristani · Umberto Castellani · Vittorio Murino · Nebojsa Jojic
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
In Poster Session
Jing Gao · Feng Liang · Wei Fan · Yizhou Sun · Jiawei Han
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
The Wisdom of Crowds in the Recollection of Order Information
In Poster Session
Mark Steyvers · Michael D Lee · Brent Miller · Pernille Hemmer
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Multiple Incremental Decremental Learning of Support Vector Machines
In Poster Session
Masayuki Karasuyama · Ichiro Takeuchi
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Code-specific policy gradient rules for spiking neurons
In Poster Session
Henning Sprekeler · Guillaume Hennequin · Wulfram Gerstner
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
In Poster Session
Saketha Nath Jagarlapudi · dinesh govindaraj · Raman S · Chiranjib Bhattacharyya · Aharon Ben-Tal · K. R. Ramakrishnan
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Distribution Matching for Transduction
In Poster Session
Novi Quadrianto · James Petterson · Alexander Smola
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sparsistent Learning of Varying-coefficient Models with Structural Changes
In Poster Session
Mladen Kolar · Le Song · Eric Xing
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
The "tree-dependent components" of natural scenes are edge filters
In Poster Session
Daniel Zoran · Yair Weiss
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nash Equilibria of Static Prediction Games
In Poster Session
Michael Brückner · Tobias Scheffer
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Beyond Convexity: Online Submodular Minimization
In Poster Session
Elad Hazan · Satyen Kale
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
In Poster Session
Parikshit Ram · Dongryeol Lee · Hua Ouyang · Alexander Gray
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
In Poster Session
Tom Ouyang · Randall Davis
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Improving Existing Fault Recovery Policies
In Poster Session
Guy Shani · Christopher Meek
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Monte Carlo Sampling for Regret Minimization in Extensive Games
In Poster Session
Marc Lanctot · Kevin G Waugh · Martin A Zinkevich · Michael Bowling
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Zero-shot Learning with Semantic Output Codes
In Poster Session
Mark M Palatucci · Dean Pomerleau · Geoffrey E Hinton · Tom Mitchell
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Toward Provably Correct Feature Selection in Arbitrary Domains
In Poster Session
Dimitris Margaritis
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning to Rank by Optimizing NDCG Measure
In Poster Session
Hamed Valizadegan · Rong Jin · Ruofei Zhang · Jianchang Mao
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Bayesian Analysis of Dynamics in Free Recall
In Poster Session
Richard Socher · Samuel J Gershman · Adler Perotte · Per Sederberg · David Blei · Kenneth Norman
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
On Learning Rotations
In Poster Session
Raman Arora
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Ranking Measures and Loss Functions in Learning to Rank
In Poster Session
Wei Chen · Tie-Yan Liu · Yanyan Lan · Zhi-Ming Ma · Hang Li
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Modeling Social Annotation Data with Content Relevance using a Topic Model
In Poster Session
Tomoharu Iwata · Takeshi Yamada · Naonori Ueda
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Variational Inference for the Nested Chinese Restaurant Process
In Poster Session
Chong Wang · David Blei
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Gaussian process regression with Student-t likelihood
In Poster Session
Jarno Vanhatalo · Pasi Jylänki · Aki Vehtari
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition
In Poster Session
Ashish Kapoor · Eric Horvitz
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Optimal context separation of spiking haptic signals by second-order somatosensory neurons
In Poster Session
Romain Brasselet · Roland Johansson · Angelo Arleo
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
In Poster Session
Keith Bush · Joelle Pineau
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
DUOL: A Double Updating Approach for Online Learning
In Poster Session
Peilin Zhao · Steven Chu-Hong Hoi · Rong Jin
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nonparametric Bayesian Texture Learning and Synthesis
In Poster Session
Leo Zhu · Yuanhao Chen · Bill Freeman · Antonio Torralba
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Individuation, Identification and Object Discovery
In Poster Session
Charles Kemp · Alan Jern · Fei Xu
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Structured output regression for detection with partial truncation
In Poster Session
Andrea Vedaldi · Andrew Zisserman
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
In Poster Session
Shuang Yang · Hongyuan Zha · Bao-Gang Hu
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes
In Poster Session
Kian Ming A Chai
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
In Poster Session
John Wright · Arvind G Balasubramanian · Shankar Rao · Yigang Peng · Yi Ma
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Stochastic approximation method for inference in probabilistic graphical models
In Poster Session
Peter Carbonetto · Matthew King · Firas Hamze
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
In Poster Session
Jacob Whitehill · Paul L Ruvolo · Ting-fan Wu · Jacob Bergsma · javier r movellan
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
In Poster Session
Zhi Yang · Qi Zhao · Edward Keefer · Wentai Liu
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sparse and Locally Constant Gaussian Graphical Models
In Poster Session
Jean Honorio · Luis E Ortiz · Dimitris Samaras · Nikos Paragios · Rita Goldstein
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Unsupervised Feature Selection for the $k$-means Clustering Problem
In Poster Session
Christos Boutsidis · Michael W Mahoney · Petros Drineas
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Solving Stochastic Games
In Poster Session
Liam MacDermed · Charles Isbell
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
White Functionals for Anomaly Detection in Dynamical Systems
In Poster Session
Marco Cuturi · Jean-Philippe Vert · Alexandre d'Aspremont
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sequential effects reflect parallel learning of multiple environmental regularities
In Poster Session
Matthew Wilder · Matt Jones · Michael Mozer
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Measuring model complexity with the prior predictive
In Poster Session
Wolf Vanpaemel
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
In Poster Session
Paris Smaragdis · Madhusudana Shashanka · Bhiksha Raj
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Periodic Step Size Adaptation for Single Pass On-line Learning
In Poster Session
Chun-Nan Hsu · Yu-Ming Chang · Hanshen Huang · Yuh-Jye Lee
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
In Poster Session
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Streaming k-means approximation
In Poster Session
Nir Ailon · Ragesh Jaiswal · Claire Monteleoni
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Fast Learning from Non-i.i.d. Observations
In Poster Session
Ingo Steinwart · Andreas Christmann
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
In Poster Session
Lin Xiao
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
In Poster Session
Amarnag Subramanya · Jeffrey A Bilmes
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
In Poster Session
Sundeep Rangan · Alyson Fletcher · Vivek K Goyal
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning with Compressible Priors
In Poster Session
Volkan Cevher
[ PDF]