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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Modeling the spacing effect in sequential category learning
HongJing Lu · Matthew Weiden · Alan Yuille
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Perceptual Multistability as Markov Chain Monte Carlo Inference
Samuel J Gershman · Edward Vul · Josh Tenenbaum
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Heterogeneous multitask learning with joint sparsity constraints
Xiaolin Yang · Seyoung Kim · Eric Xing
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
David P Wipf · Sri Nagarajan
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
Alyson Fletcher · Sundeep Rangan
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Complexity of Decentralized Control: Special Cases
Martin Allen · Shlomo Zilberstein
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
James Bergstra · Yoshua Bengio
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Match Kernel between Sets of Features for Visual Recognition
Liefeng Bo · Cristian Sminchisescu
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Segmenting Scenes by Matching Image Composites
Bryan C Russell · Alexei A Efros · Josef Sivic · Bill Freeman · Andrew Zisserman
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis · Trevor Darrell
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Lattice Regression
Eric K Garcia · Maya R Gupta
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Replicated Softmax: an Undirected Topic Model
Russ Salakhutdinov · Geoffrey E Hinton
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Convex Relaxation of Mixture Regression with Efficient Algorithms
Novi Quadrianto · Tiberio Caetano · John Lim · Dale Schuurmans
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Bharath Sriperumbudur · Kenji Fukumizu · Arthur Gretton · Gert Lanckriet · Bernhard Schölkopf
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Game-Theoretic Approach to Hypergraph Clustering
Samuel Rota Bulò · Marcello Pelillo
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Strategy Grafting in Extensive Games
Kevin G Waugh · Nolan Bard · Michael Bowling
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Approximating MAP by Compensating for Structural Relaxations
Arthur Choi · Adnan Darwiche
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
Andrew McCallum · Karl Schultz · Sameer Singh
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Canonical Time Warping for Alignment of Human Behavior
Feng Zhou · Fernando D De la Torre
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Particle-based Variational Inference for Continuous Systems
Alexander Ihler · Andrew Frank · Padhraic Smyth
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Kernel Methods for Deep Learning
Youngmin Cho · Lawrence Saul
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
Cosmin A Bejan · Matthew Titsworth · Andrew F Hickl · Sanda Harabagiu
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
George Konidaris · Andrew G Barto
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Tracking Dynamic Sources of Malicious Activity at Internet Scale
Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
An LP View of the M-best MAP problem
Menachem Fromer · Amir Globerson
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Localizing Bugs in Program Executions with Graphical Models
Laura Dietz · Valentin Dallmeier · Andreas Zeller · Tobias Scheffer
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
Xiao-Ming Wu · Anthony Man-Cho So · Zhenguo Li · Shuo-Yen Robert Li
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Moments-based Permutation Tests
Chunxiao Zhou · Huixia Judy Wang · Yongmei Michelle Wang
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sharing Features among Dynamical Systems with Beta Processes
Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
Michael Mozer · Harold Pashler · Nicholas Cepeda · Robert Lindsey · Edward Vul
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
Shuai Huang · Jing Li · Liang Sun · Jun Liu · Teresa Wu · Kewei Chen · Adam Fleisher · Eric Reiman · Jieping Ye
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih R Amini · Nicolas Usunier · Cyril Goutte
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Know Thy Neighbour: A Normative Theory of Synaptic Depression
Jean-Pascal Pfister · Peter Dayan · Mate Lengyel
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Variational Gaussian-process factor analysis for modeling spatio-temporal data
Jaakko Luttinen · Alexander Ilin
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Adaptive Regularization for Transductive Support Vector Machine
Zenglin Xu · Rong Jin · Jianke Zhu · Irwin King · Michael R Lyu · Zhirong Yang
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Belief Polarization
Alan Jern · Kai-min K Chang · Charles Kemp
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Adaptive Regularization of Weight Vectors
Yacov Crammer · Alex Kulesza · Mark Dredze
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Region-based Segmentation and Object Detection
Stephen Gould · Tianshi Gao · Daphne Koller
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Statistical Consistency of Top-k Ranking
fen xia · Tie-Yan Liu · Hang Li
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
Manqi Zhao · Venkatesh Saligrama
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast subtree kernels on graphs
Nino Shervashidze · Karsten Borgwardt
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
Boaz Nadler · Nati Srebro · Xueyuan Zhou
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Nonparametric Models on Decomposable Graphs
Francois Caron · Arnaud Doucet
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
The Ordered Residual Kernel for Robust Motion Subspace Clustering
Tat-Jun Chin · Hanzi Wang · David Suter
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bootstrapping from Game Tree Search
Joel Veness · David Silver · William Uther · Alan Blair
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Ensemble Nystrom Method
Sanjiv Kumar · Mehryar Mohri · Ameet S Talwalkar
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
On Stochastic and Worst-case Models for Investing
Elad Hazan · Satyen Kale
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
Lan Du · Lu Ren · David B Dunson · Lawrence Carin
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Data-Driven Approach to Modeling Choice
Vivek Farias · Srikanth Jagabathula · Devavrat Shah
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models
Jonathan W Pillow
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
From PAC-Bayes Bounds to KL Regularization
Pascal Germain · Alexandre Lacasse · Francois Laviolette · Mario Marchand · Sara Shanian
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Manifold Regularization for SIR with Rate Root-n Convergence
Wei Bian · Dacheng Tao
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Source Localization with the Multivariate Laplace Prior
Marcel Van Gerven · Botond Cseke · Robert Oostenveld · Tom Heskes
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast Image Deconvolution using Hyper-Laplacian Priors
Dilip Krishnan · Rob Fergus
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Learning using Forward-Backward Splitting
John Duchi · Yoram Singer
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
Gideon S Mann · Ryan McDonald · Mehryar Mohri · Nathan Silberman · Dan Walker
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sparse Metric Learning via Smooth Optimization
Yiming Ying · Kaizhu Huang · Colin I Campbell
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Potential-Based Agnostic Boosting
Adam Kalai · Varun Kanade
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Multi-Step Dyna Planning for Policy Evaluation and Control
Hengshuai Yao · Richard Sutton · Shalabh Bhatnagar · Dongcui Diao · Csaba Szepesvari
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Neurometric function analysis of population codes
Philipp Berens · Sebastian Gerwinn · Alexander S Ecker · Matthias Bethge
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sufficient Conditions for Agnostic Active Learnable
Liwei Wang
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Robert Legenstein · Steven Chase · Andrew B Schwartz · Wolfgang Maass
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions
Fabian H Sinz · Eero Simoncelli · Matthias Bethge
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Quantification and the language of thought
Charles Kemp
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
Sanja Fidler · Marko Boben · Ales Leonardis
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang · Jordan Boyd-Graber · Sean Gerrish · Chong Wang · David Blei
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Occlusive Components Analysis
Jörg Lücke · Richard Turner · Maneesh Sahani · Marc Henniges
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
Gunhee Kim · Antonio Torralba
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Discrete MDL Predicts in Total Variation
Marcus Hutter
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation
Jie Luo · Barbara Caputo · Vittorio Ferrari
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning transport operators for image manifolds
Jack Culpepper · Bruno Olshausen
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Structural inference affects depth perception in the context of potential occlusion
Ian H Stevenson · Konrad Koerding
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Multi-Label Prediction via Sparse Infinite CCA
Piyush Rai · Hal Daumé III
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
Garvesh Raskutti · Martin J Wainwright · Bin Yu
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
Lei ShiUpdateMe · Tom Griffiths
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Help or Hinder: Bayesian Models of Social Goal Inference
Tomer D Ullman · Chris L Baker · Owen Macindoe · Owain Evans · Noah Goodman · Josh Tenenbaum
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Posterior vs Parameter Sparsity in Latent Variable Models
Joao V Graca · Kuzman Ganchev · Ben Taskar · Fernando Pereira
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Submanifold density estimation
Arkadas Ozakin · Alexander Gray
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
Baback Moghaddam · Benjamin Marlin · Mohammad Emtiyaz Khan · Kevin Murphy
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
Aaron Courville · Douglas Eck · Yoshua Bengio
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Parameter-free Hedging Algorithm
Kamalika Chaudhuri · Yoav Freund · Daniel Hsu
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Hierarchical Learning of Dimensional Biases in Human Categorization
Katherine Heller · Adam Sanborn · Nick Chater
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
Barry W Chai · Dirk B Walther · Diane M Beck · Fei-Fei Li
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Information-theoretic lower bounds on the oracle complexity of convex optimization
Alekh Agarwal · Peter Bartlett · Pradeep Ravikumar · Martin J Wainwright
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
Natasha Singh-Miller · Michael Collins
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Maximin affinity learning of image segmentation
Srinivas C Turaga · K Briggman · Moritz N Helmstaedter · Winfried Denk · H. Sebastian Seung
[ PDF
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bilinear classifiers for visual recognition
Hamed Pirsiavash · Deva Ramanan · Charless Fowlkes
[ PDF