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Poster Session
7:30 - 11:59pm Wednesday, December 09, 2009
Poster Areas Layout- R. Legenstein, S. Chase, A. Schwartz, W. Maass
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning - G. Mann, R. McDonald, M. Mohri, N. Silberman, D. Walker
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models - S. Kumar, M. Mohri, A. Talwalkar
Ensemble Nystrom Method - N. Singh-Miller, M. Collins
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition - P. Germain, A. Lacasse, F. Laviolette, M. Marchand, S. Shanian
From PAC-Bayes Bounds to KL Regularization - N. Shervashidze, K. Borgwardt
Fast subtree kernels on graphs - K. Crammer, A. Kulesza, M. Dredze
Adaptive Regularization of Weight Vectors - Y. Cho, L. Saul
Kernel Methods for Deep Learning - E. Garcia, M. Gupta
Lattice Regression - J. Bergstra, Y. Bengio
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks - A. Fletcher, S. Rangan
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis - D. Wipf, S. Nagarajan
Sparse Estimation Using General Likelihoods and Non-Factorial Priors - J. Duchi, Y. Singer
Efficient Learning using Forward-Backward Splitting - V. Farias, S. Jagabathula, D. Shah
A Data-Driven Approach to Modeling Choice - G. Kim, A. Torralba
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis - S. Turaga, K. Briggman, M. Helmstaedter, W. Denk, H. Seung
Maximin affinity learning of image segmentation - S. Fidler, M. Boben, A. Leonardis
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection - F. Sinz, E. Simoncelli, M. Bethge
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions - D. Krishnan, R. Fergus
Fast Image Deconvolution using Hyper-Laplacian Priors - T. Chin, H. Wang, D. Suter
The Ordered Residual Kernel for Robust Motion Subspace Clustering - S. Gould, T. Gao, D. Koller
Region-based Segmentation and Object Detection - L. Bo, C. Sminchisescu
Efficient Match Kernel between Sets of Features for Visual Recognition - B. Russell, A. Efros, J. Sivic, B. Freeman, A. Zisserman
Segmenting Scenes by Matching Image Composites - I. Stevenson, K. Koerding
Structural inference affects depth perception in the context of potential occlusion - J. Luo, B. Caputo, V. Ferrari
Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation - H. Pirsiavash, D. Ramanan, C. Fowlkes
Bilinear classifiers for visual recognition - P. Berens, S. Gerwinn, A. Ecker, M. Bethge
Neurometric function analysis of population codes - J. Pillow
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models - J. Pfister, P. Dayan, M. Lengyel
Know Thy Neighbour: A Normative Theory of Synaptic Depression - S. Huang, J. Li, L. Sun, J. Liu, T. Wu, K. Chen, A. Fleisher, E. Reiman, J. Ye
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data - L. Shi, T. Griffiths
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling - B. Chai, D. Walther, D. Beck, F. Li
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis - C. Kemp
Quantification and the language of thought - A. Jern, K. Chang, C. Kemp
Bayesian Belief Polarization - M. Mozer, H. Pashler, N. Cepeda, R. Lindsey, E. Vul
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory - S. Gershman, E. Vul, J. Tenenbaum
Perceptual Multistability as Markov Chain Monte Carlo Inference - H. Yao, R. Sutton, S. Bhatnagar, D. Diao, C. Szepesvari
Multi-Step Dyna Planning for Policy Evaluation and Control - J. Veness, D. Silver, W. Uther, A. Blair
Bootstrapping from Game Tree Search - G. Konidaris, A. Barto
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining - K. Waugh, N. Bard, M. Bowling
Strategy Grafting in Extensive Games - M. Allen, S. Zilberstein
Complexity of Decentralized Control: Special Cases - M. Hutter
Discrete MDL Predicts in Total Variation - A. Kalai, V. Kanade
Potential-Based Agnostic Boosting - E. Hazan, S. Kale
On Stochastic and Worst-case Models for Investing - f. xia, T. Liu, H. Li
Statistical Consistency of Top-k Ranking - M. Amini, N. Usunier, C. Goutte
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization - S. Venkataraman, A. Blum, D. Song, S. Sen, O. Spatscheck
Tracking Dynamic Sources of Malicious Activity at Internet Scale - B. Sriperumbudur, K. Fukumizu, A. Gretton, G. Lanckriet, B. Schölkopf
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions - A. Agarwal, P. Bartlett, P. Ravikumar, M. Wainwright
Information-theoretic lower bounds on the oracle complexity of convex optimization - G. Raskutti, M. Wainwright, B. Yu
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness - K. Chaudhuri, Y. Freund, D. Hsu
A Parameter-free Hedging Algorithm - J. Chang, J. Boyd-Graber, S. Gerrish, C. Wang, D. Blei
Reading Tea Leaves: How Humans Interpret Topic Models - L. Wang
Sufficient Conditions for Agnostic Active Learnable - Y. Ying, K. Huang, C. Campbell
Sparse Metric Learning via Smooth Optimization - B. Nadler, N. Srebro, X. Zhou
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data - W. Bian, D. Tao
Manifold Regularization for SIR with Rate Root-n Convergence - M. Zhao, V. Saligrama
Anomaly Detection with Score functions based on Nearest Neighbor Graphs - Z. Xu, R. Jin, J. Zhu, I. King, M. Lyu, Z. Yang
Adaptive Regularization for Transductive Support Vector Machine - F. Zhou, F. De la Torre
Canonical Time Warping for Alignment of Human Behavior - X. WU, A. So, Z. Li, S. Li
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming - R. Salakhutdinov, G. Hinton
Replicated Softmax: an Undirected Topic Model - S. Rota Bulò, M. Pelillo
A Game-Theoretic Approach to Hypergraph Clustering - B. Kulis, T. Darrell
Learning to Hash with Binary Reconstructive Embeddings - J. Graca, K. Ganchev, B. Taskar, F. Pereira
Posterior vs Parameter Sparsity in Latent Variable Models - J. Lucke, R. Turner, M. Sahani, M. Henniges
Occlusive Components Analysis - M. Van Gerven, B. Cseke, R. Oostenveld, T. Heskes
Bayesian Source Localization with the Multivariate Laplace Prior - L. Du, L. Ren, D. Dunson, L. Carin
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation - F. Caron, A. Doucet
Bayesian Nonparametric Models on Decomposable Graphs - C. Zhou, H. Wang, Y. Wang
Efficient Moments-based Permutation Tests - L. Dietz, V. Dallmeier, A. Zeller, T. Scheffer
Localizing Bugs in Program Executions with Graphical Models - J. Culpepper, B. Olshausen
Learning transport operators for image manifolds - J. Luttinen, A. Ilin
Variational Gaussian-process factor analysis for modeling spatio-temporal data - M. Fromer, A. Globerson
An LP View of the M-best MAP problem - C. Bejan, M. Titsworth, A. Hickl, S. Harabagiu
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution - E. Fox, E. Sudderth, M. Jordan, A. Willsky
Sharing Features among Dynamical Systems with Beta Processes - N. Quadrianto, T. Caetano, J. Lim, D. Schuurmans
Convex Relaxation of Mixture Regression with Efficient Algorithms - A. McCallum, K. Schultz, S. Singh
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs - A. Ihler, A. Frank, P. Smyth
Particle-based Variational Inference for Continuous Systems - A. Choi, A. Darwiche
Approximating MAP by Compensating for Structural Relaxations - B. Moghaddam, B. Marlin, M. Khan, K. Murphy
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models - A. Courville, D. Eck, Y. Bengio
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism - P. Rai, H. Daume III
Multi-Label Prediction via Sparse Infinite CCA - A. Ozakin, A. Gray
Submanifold density estimation - X. Yang, S. Kim, E. Xing
Heterogeneous multitask learning with joint sparsity constraints - H. Lu, M. Weiden, A. Yuille
Modeling the spacing effect in sequential category learning - K. Heller, A. Sanborn, N. Chater
Hierarchical Learning of Dimensional Biases in Human Categorization - T. Ullman, C. Baker, O. Macindoe, O. Evans, N. Goodman, J. Tenenbaum
Help or Hinder: Bayesian Models of Social Goal Inference