Monday, December 3 
6:30 – 6:55pm 
Opening Remarks and Awards 
7:00 – 11:59pm 
Poster Session and Reception 


R. Kondor, W. Dempsey
M1
Multiresolution analysis on the symmetric group

M. Hardt, K. Ligett, F. McSherry
M2
A Simple and Practical Algorithm for Differentially Private Data Release

O. Arandjelovic
M3
Assessing Blinding in Clinical Trials

D. Ciresan, A. Giusti, l. Gambardella, J. Schmidhuber
M4
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images

C. Mayr, P. Stärke, J. Partzsch, L. Cederstroem, R. Schüffny, Y. Shuai, N. Du, H. Schmidt
M5
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation

A. Smerieri, F. Duport, Y. Paquot, M. Haelterman, S. Massar
M6
Analog readout for optical reservoir computers

C. Niu, S. Nandyala, W. Sohn, T. Sanger
M7
Multiscale Hypertime Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA

J. Jiang, A. Teichert, H. Daume III, J. Eisner
M8
Learned Prioritization for Trading Off Accuracy and Speed

A. Boularias, O. Kroemer, J. Peters
M9
Algorithms for Learning Markov Field Policies

Z. Zamani, S. Sanner, P. Poupart, K. Kersting
M10
Symbolic Dynamic Programming for Continuous State and Observation POMDPs

K. Chen, M. Bowling
M11
Tractable Objectives for Robust Policy Optimization

M. Ibrahimi, A. Javanmard, B. Van Roy
M12
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems

P. Li, A. Owen, C. Zhang
M13
One Permutation Hashing

W. Kong, W. Li
M14
Isotropic Hashing

C. Zhang, J. Ye, L. Zhang
M15
Generalization Bounds for Domain Adaptation

F. Dinuzzo, B. Schölkopf
M16
The representer theorem for Hilbert spaces: a necessary and sufficient condition

S. Sra
M17
Scalable nonconvex inexact proximal splitting

R. Iyer, J. Bilmes
M19
Submodular Bregman Divergences with Applications

T. Zhao, K. Roeder, H. Liu
M20
Highdimensional Nonparanormal Graph Estimation via Smoothprojected Neighborhood Pursuit

B. Calderhead, M. Sustik
M21
Sparse Approximate Manifolds for Differential Geometric MCMC

F. Pokorny, C. Ek, H. Kjellström, D. Kragic
M22
Persistent Homology for Learning Densities with Bounded Support

M. Rey, V. Roth
M23
MetaGaussian Information Bottleneck

S. Lyons, A. Storkey, S. Sarkka
M24
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes

Z. Zhang, B. Tu
M25
Nonconvex Penalization, Levy Processes and Concave Conjugates

L. Elliott, Y. Teh
M26
Scalable imputation of genetic data with a discrete fragmentationcoagulation process

L. Boyles, M. Welling
M27
The TimeMarginalized Coalescent Prior for Hierarchical Clustering

P. Ortega, T. Genewein, J. GrauMoya, D. Balduzzi, D. Braun
M28
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function

N. Foti, S. Williamson
M29
Slice sampling normalized kernelweighted completely random measure mixture models

D. Belanger, A. Passos, S. Riedel, A. McCallum
M30
MAP Inference in Chains using Column Generation

P. Sollich, S. Ashton
M31
Learning curves for multitask Gaussian process regression

J. Snoek, H. Larochelle, R. Adams
M32
Practical Bayesian Optimization of Machine Learning Algorithms

B. Rolfs, B. Rajaratnam, D. Guillot, A. Maleki, I. Wong
M33
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation

C. Hsieh, I. Dhillon, P. Ravikumar, A. Banerjee
M34
A DivideandConquer Method for Sparse Inverse Covariance Estimation

U. Kamilov, S. Rangan, A. Fletcher, M. Unser
M35
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning

N. Ruozzi
M36
The Bethe Partition Function of Logsupermodular Graphical Models

L. Shi
M38
Bayesian Probabilistic CoSubspace Addition

A. Dennis, D. Ventura
M39
Learning the Architecture of SumProduct Networks Using Clustering on Variables

M. Volkovs, R. Zemel
M40
Efficient Sampling for Bipartite Matching Problems

M. Fiterau, A. Dubrawski
M41
Projection Retrieval for Classification

K. Crammer, Y. Mansour
M42
Learning Multiple Tasks using Shared Hypotheses

A. Gretton, B. Sriperumbudur, D. Sejdinovic, H. Strathmann, S. Balakrishnan, M. Pontil, K. Fukumizu
M43
Optimal kernel choice for largescale twosample tests

P. Kar, P. Jain
M44
Supervised Learning with Similarity Functions

M. Sugiyama, T. Kanamori, T. Suzuki, M. Plessis, S. Liu, I. Takeuchi
M45
DensityDifference Estimation

V. Jethava, A. Martinsson, C. Bhattacharyya, D. Dubhashi
M46
The Lovasz $\theta$ function, SVMs and finding large dense subgraphs

A. Flint, M. Blaschko
M47
Perceptron Learning of SAT

Y. Yu, Ö. Aslan, D. Schuurmans
M48
A Polynomialtime Form of Robust Regression

C. Scherrer, A. Tewari, M. Halappanavar, D. Haglin
M49
Feature Clustering for Accelerating Parallel Coordinate Descent

M. Sinn, B. Chen
M50
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions

R. Gibson, M. Lanctot, N. Burch, D. Szafron
M51
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions

J. Acharya, H. Das, A. Orlitsky
M52
Tight Bounds on Redundancy and Distinguishability of LabelInvariant Distributions

H. Liu, J. Lafferty, L. Wasserman
M53
Exponential Concentration for Mutual Information Estimation with Application to Forests

E. Archer, J. Pillow, I. Park
M54
Bayesian estimation of discrete entropy with mixtures of stickbreaking priors

A. Birnbaum, S. ShalevShwartz
M55
Learning Halfspaces with the ZeroOne Loss: TimeAccuracy Tradeoffs

S. Wang, Z. Zhang
M56
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound

S. Kasiviswanathan, H. Wang, A. Banerjee, P. Melville
M57
Online L1Dictionary Learning with Application to Novel Document Detection

K. Sricharan, A. Hero
M58
Ensemble weighted kernel estimators for multivariate entropy estimation

A. Kalogeratos, A. Likas
M59
Dipmeans: an incremental clustering method for estimating the number of clusters

X. Bresson, T. Laurent, D. Uminsky, J. von Brecht
M60
Convergence and Energy Landscape for Cheeger Cut Clustering

K. Swersky, D. Tarlow, I. Sutskever, R. Zemel, R. Salakhutdinov, R. Adams
M61
Cardinality Restricted Boltzmann Machines

V. Karasev, A. Chiuso, S. Soatto
M62
Controlled Recognition Bounds for Visual Learning and Exploration

N. Li, L. Latecki
M63
Clustering Aggregation as MaximumWeight Independent Set

Z. Yang, T. Hao, O. Dikmen, X. Chen, E. Oja
M64
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk

Y. Gong, S. Kumar, V. Verma, S. Lazebnik
M65
Angular Quantization based Binary Codes for Fast Similarity Search

K. Chaudhuri, A. Sarwate, K. Sinha
M66
Nearoptimal Differentially Private Principal Components

M. Coudron, G. Lerman
M67
On the Sample Complexity of Robust PCA

Y. He, Y. Qi, k. kavukcuoglu, H. Park
M68
Learning the Dependency Structure of Latent Factors

M. Xu, J. Zhu, B. Zhang
M69
Bayesian Nonparametric Maximum Margin Matrix Factorization for Collaborative Prediction

S. Gerrish, D. Blei
M71
How They Vote: IssueAdjusted Models of Legislative Behavior

H. Park, e. Jain, Y. Sheikh
M72
3D Gaze Concurrences from Headmounted Cameras

C. Chen, J. Huang
M73
Compressive Sensing MRI with Wavelet Tree Sparsity

W. Li, N. Vasconcelos
M74
Recognizing Activities by Attribute Dynamics

Y. Zhou, X. Bai, W. Liu, L. Latecki
M75
Fusion with Diffusion for Robust Visual Tracking

M. Pachitariu, M. Sahani
M76
Learning visual motion in recurrent neural networks

F. Lieder, T. Griffiths, N. Goodman
M77
Burnin, bias, and the rationality of anchoring

V. Mahadevan, N. Vasconcelos
M78
On the connections between saliency and tracking

H. Zhuo, Q. Yang, S. Kambhampati
M79
ActionModel Based Multiagent Plan Recognition

N. Srivastava, P. Schrater
M80
Rational inference of relative preferences

J. Shelton, P. Sterne, J. Bornschein, A. Sheikh, J. Lücke
M81
Why MCA? Nonlinear Spikeandslab Sparse Coding for Neurally Plausible Image Encoding

U. Maoz, S. Ye, I. Ross, A. Mamelak, C. Koch
M82
A System for Predicting Action Content OnLine and in Real Time before Action Onset in Humans – an Intracranial Study

K. Gregor, D. Chklovskii
M83
A lattice filter model of the visual pathway

C. Hinrichs, V. Singh, J. Peng, S. Johnson
M84
QMKL: Matrixinduced Regularization in MultiKernel Learning with Applications to Neuroimaging

W. Kim, D. Pachauri, C. Hatt, M. Chung, S. Johnson, V. Singh
M85
Wavelet based multiscale shape features on arbitrary surfaces for cortical thickness discrimination

P. Kindermans, H. Verschore, D. Verstraeten, B. Schrauwen
M86
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling

D. Balduzzi, M. Besserve
M87
Towards a learningtheoretic analysis of spiketiming dependent plasticity

J. Bouvrie, J. Slotine
M88
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes

S. Habenschuss, J. Bill, B. Nessler
M89
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints

J. Rombouts, S. Bohte, P. Roelfsema
M90
Neurally Plausible Reinforcement Learning of Working Memory Tasks

R. Cazé, M. Humphries, B. Gutkin
M91
Spiking and saturating dendrites differentially expand single neuron computation capacity.

S. Koyama
M92
Coding efficiency and detectability of rate fluctuations with nonPoisson neuronal firing

X. Wei, A. Stocker
M93
Efficient coding connects prior and likelihood function in perceptual Bayesian inference

O. Meshi, T. Jaakkola, A. Globerson
Tu94
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms

Tuesday, December 4 
7:30 – 9:30am 
Breakfast Sponsored By Winton Capital 
8:00am – 6:00pm 
Registration Desk 
9:00 – 10:10am 
Oral Session 1Session Chair:Raquel Urtasun 


10:10 – 10:30am 
Spotlight Session 1 


10:30 – 11:00am 
Coffee Break 
11:00 – 11:40am 
Oral Session 2Session Chair:Sebastien Bubeck 


11:40am – 12:05pm 
Spotlight Session 2 


A. Defazio, T. Caetano
A Convex Formulation for Learning ScaleFree Networks via Submodular Relaxation

C. Sawade, N. Landwehr, T. Scheffer
Active Comparison of Prediction Models

S. Jun, L. Wang, A. BouchardCôté
Entangled Monte Carlo

C. Blundell, K. Heller, J. Beck
Modelling Reciprocating Relationships with Hawkes processes

Z. Ghahramani, Y. Zhang, C. Sutton, A. Storkey
Continuous Relaxations for Discrete Hamiltonian Monte Carlo

P. Vernaza, D. Bagnell
Efficient high dimensional maximum entropy modeling via symmetric partition functions

12:05 – 2:00pm 
Lunch Break 
2:00 – 3:30pm 
Oral Session 3Session Chair:Lin Xiao 


3:30 – 3:50pm 
Spotlight Session 3 


S. Becker, J. Fadili
A quasiNewton proximal splitting method

B. Recht, C. Re, J. Tropp, V. Bittorf
Factoring nonnegative matrices with linear programs

T. Ngo, Y. Saad
Scaled Gradients on Grassmann Manifolds for Matrix Completion

K. Hsiao, K. Xu, J. Calder, A. Hero
Multicriteria Anomaly Detection using Pareto Depth Analysis

D. LopezPaz, J. HernándezLobato, B. Schölkopf
SemiSupervised Domain Adaptation with NonParametric Copulas

3:50 – 4:20pm 
Coffee Break 
4:20 – 5:40pm 
Oral Session 4Session Chair:Gunnar Rätsch 


L. Buesing, J. Macke, M. Sahani
Spectral learning of linear dynamics from generalisedlinear observations with application to neural population data

H. Wang, F. Nie, H. Huang, J. Yan, S. Kim, S. Risacher, A. Saykin, L. Shen
HighOrder MultiTask Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer Disease Progression Prediction

N. Srivastava, R. Salakhutdinov
Multimodal Learning with Deep Boltzmann Machines

R. Gens, P. Domingos
Discriminative Learning of SumProduct Networks

5:40 – 6:00pm 
Spotlight Session 4 


7:00 – 11:59pm 
Demonstrations 


A. Ghoreyshi, T. Sanger, J. Rocamora
A Stochastic Spiking Network Model of Sensorimotor Control

J. Deng, J. Krause, Z. Huang, A. Berg, F. Li
EVA: Engine for Visual Annotation

M. Gabel, E. Renshaw, A. Schuster, R. GiladBachrach
Gait analysis using the Kinect sensor

I. Guyon
Gesture recognition with Kinect

L. Jayet Bray, D. Tanna, F. Harris, Jr
NCS: A LargeScale Brain Simulator

T. Boult
Realtime Fusion/normalization of Multiple SVM with libMR

J. LeBoeuf
Ubiquitous Content: How musicians will search for every riff, musical phrase, and idea ever recorded.

7:00 – 11:59pm 
Poster Session 


N. Dalvi, A. Parameswaran, V. Rastogi
Tu1
Minimizing Uncertainty in Pipelines

S. Cohen, M. Collins
Tu2
Tensor Decomposition for Fast Parsing with LatentVariable PCFGs

Z. Chen, K. Zhang, L. CHAN
Tu3
Causal discovery with scalemixture model for spatiotemporal variance dependencies

E. Talvitie
Tu4
Learning Partially Observable Models Using Temporally Abstract Decision Trees

A. Barreto, D. Precup, J. Pineau
Tu5
Online Reinforcement Learning Using Incremental KernelBased Stochastic Factorization

N. Srivastava, R. Salakhutdinov
Tu6
Multimodal Learning with Deep Boltzmann Machines

R. Salakhutdinov, G. Hinton
Tu7
A Better Way to PreTrain Deep Boltzmann Machines

A. Coates, A. Karpathy, A. Ng
Tu8
Emergence of ObjectSelective Features in Unsupervised Feature Learning

R. Kiros, C. Szepesvari
Tu9
Deep Representations and Codes for Image AutoAnnotation

F. Han, H. Liu
Tu10
High Dimensional Semiparametric Scaleinvariant Principal Component Analysis

D. LopezPaz, J. HernándezLobato, B. Schölkopf
Tu11
SemiSupervised Domain Adaptation with NonParametric Copulas

J. Duchi, M. Jordan, M. Wainwright, A. Wibisono
Tu12
Finite Sample Convergence Rates of ZeroOrder Stochastic Optimization Methods

T. Ngo, Y. Saad
Tu13
Scaled Gradients on Grassmann Manifolds for Matrix Completion

A. Delong, O. Veksler, A. Osokin, Y. Boykov
Tu14
Minimizing Sparse HighOrder Energies by Submodular VertexCover

X. Zhang, Y. Yu, D. Schuurmans
Tu15
Accelerated Training for Matrixnorm Regularization: A Boosting Approach

J. Giesen, J. Mueller, S. Laue, S. Swiercy
Tu16
Approximating Concavely Parameterized Optimization Problems

E. Elhamifar, G. Sapiro, R. Vidal
Tu17
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery

M. White, Y. Yu, X. Zhang, D. Schuurmans
Tu18
Convex Multiview Subspace Learning

E. Hazan, Z. Karnin
Tu19
A Polylog Pivot Steps Simplex Algorithm for Classification

A. Agarwal, S. Negahban, M. Wainwright
Tu20
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions

M. Mahdavi, T. Yang, R. Jin, S. Zhu
Tu21
Stochastic Gradient Descent with Only One Projection

X. Chen, Q. Lin, J. Pena
Tu22
Optimal Regularized Dual Averaging Methods for Stochastic Optimization

N. Le Roux, M. Schmidt, F. Bach
Tu23
A Stochastic Gradient Method with an Exponential Convergence
Rate for Finite Training Sets

D. Venugopal, V. Gogate
Tu24
On Lifting the Gibbs Sampling Algorithm

C. Sawade, N. Landwehr, T. Scheffer
Tu25
Active Comparison of Prediction Models

S. Feldman, M. Gupta, B. Frigyik
Tu26
MultiTask Averaging

J. Weiss, S. Natarajan, D. Page
Tu27
Multiplicative Forests for ContinuousTime Processes

S. Jun, L. Wang, A. BouchardCôté
Tu28
Entangled Monte Carlo

M. Khan, S. Mohamed, K. Murphy
Tu29
Fast Bayesian Inference for NonConjugate Gaussian Process Regression

A. Schwing, T. Hazan, M. Pollefeys, R. Urtasun
Tu30
Globally Convergent Dual MAP LP Relaxation Solvers using FenchelYoung Margins

J. Hensman, M. Rattray, N. Lawrence
Tu31
Fast Variational Inference in the Conjugate Exponential Family

J. Pacheco, E. Sudderth
Tu32
Minimization of Continuous Bethe Approximations: A Positive Variation

S. Nakajima, R. Tomioka, M. Sugiyama, S. Babacan
Tu33
Perfect Dimensionality Recovery by Variational Bayesian PCA

M. Deisenroth, S. Mohamed
Tu34
Expectation Propagation in Gaussian Process Dynamical Systems

J. Lloyd, D. Roy, P. Orbanz, Z. Ghahramani
Tu35
Random function priors for exchangeable graphs and arrays

K. Wakabayashi, T. Miura
Tu36
ForwardBackward Activation Algorithm for Hierarchical Hidden Markov Models

M. Osborne, D. Duvenaud, R. Garnett, C. Rasmussen, S. Roberts, Z. Ghahramani
Tu37
Active Learning of Model Evidence Using Bayesian Quadrature

H. Park, J. Kim, S. Park, S. Yun, C. Yoo
Tu38
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System

S. Ermon, C. Gomes, A. Sabharwal, B. Selman
Tu39
Density Propagation and Improved Bounds on the Partition Function

H. Liu, F. Han
Tu40
High Dimensional Transelliptical Graphical Models

Z. Ghahramani, Y. Zhang, C. Sutton, A. Storkey
Tu42
Continuous Relaxations for Discrete Hamiltonian Monte Carlo

C. Zhang, T. Sun
Tu43
Calibrated Elastic Regularization in Matrix Completion

A. Anandkumar, R. Valluvan
Tu44
Latent Graphical Model Selection: Efficient Methods for Locally Treelike Graphs

T. Papai, H. Kautz, D. Stefankovic
Tu45
Slice Normalized Dynamic Markov Logic Networks

K. Crammer, T. Wagner
Tu46
Volume Regularization for Binary Classification

B. Balle, M. Mohri
Tu47
Spectral Learning of General Weighted Automata via Constrained Matrix Completion

G. Canas, L. Rosasco
Tu48
Learning Probability Measures with respect to Optimal Transport Metrics

C. Zhou, j. Park, Y. Fu
Tu49
Fast Resampling Weighted vStatistics

A. Greenwald, J. Li, E. Sodomka
Tu50
Approximating Equilibria in Sequential Auctions with Incomplete Information and MultiUnit Demand

N. Della Penna, M. Reid, R. Frongillo
Tu51
Interpreting prediction markets: a stochastic approach

H. Tyagi, V. Cevher
Tu52
Active Learning of MultiIndex Function Models

O. Maillard
Tu53
Hierarchical Optimistic Region Selection driven by Curiosity

A. Sani, A. Lazaric, R. Munos
Tu54
RiskAversion in Multiarmed Bandits

A. Carpentier, O. Maillard
Tu55
Online allocation and homogeneous partitioning for piecewise constant meanapproximation

A. Carpentier, R. Munos
Tu56
Adaptive Stratified Sampling for MonteCarlo integration of Differentiable functions

W. Koolen, D. Adamskiy, M. Warmuth
Tu57
Putting Bayes to sleep

M. Herbster, F. Vitale, S. Pasteris
Tu58
Online SumProduct Computation

Z. Wang, S. Lyu, G. Schalk, Q. Ji
Tu59
Learning with Target Prior

A. Glazer, M. Lindenbaum, S. Markovitch
Tu60
Learning HighDensity Regions for a Generalized KolmogorovSmirnov Test in HighDimensional Data

X. Wu, Z. Li, S. Chang, J. Wright, A. So
Tu61
Learning with Partially Absorbing Random Walks

K. Jiang, B. Kulis, M. Jordan
Tu62
SmallVariance Asymptotics for Exponential Family Dirichlet Process Mixture Models

F. PETRALIA, V. Rao, D. Dunson
Tu63
Repulsive Mixtures

L. Theis, J. SohlDickstein, M. Bethge
Tu64
Training sparse natural image models with a fast Gibbs sampler of an extended state space

S. Arora, R. Ge, A. Moitra, S. Sachdeva
Tu65
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders

F. Han, H. Liu
Tu66
TCA: High Dimensional Principal Component Analysis for nonGaussian Data

R. Foygel, N. Srebro, R. Salakhutdinov
Tu67
Matrix reconstruction with the local max norm

K. Hsiao, K. Xu, J. Calder, A. Hero
Tu68
Multicriteria Anomaly Detection using Pareto Depth Analysis

M. Harel, S. Mannor
Tu69
The Perturbed Variation

S. Hauberg, O. Freifeld, M. Black
Tu70
A Geometric take on Metric Learning

T. Jansen Hansen, M. Mahoney
Tu71
Semisupervised Eigenvectors for Locallybiased Learning

A. Ziegler, E. Christiansen, D. Kriegman, S. Belongie
Tu72
LUCID: Locally Uniform Comparison Image Descriptor

G. Huang, M. Mattar, H. Lee, E. LearnedMiller
Tu73
Learning to Align from Scratch

S. Ghosh, E. Sudderth, M. Loper, M. Black
Tu74
From Deformations to Parts: Motionbased Segmentation of 3D Objects

D. Tran, J. Yuan
Tu75
MaxMargin Structured Output Regression for SpatioTemporal Action Localization

S. Yang, L. Bo, J. Wang, L. Shapiro
Tu76
Unsupervised template learning for finegrained object recognition

S. Eslami, C. Williams
Tu77
A Generative Model for Partsbased Object Segmentation

X. Ren, L. Bo
Tu78
Discriminatively Trained Sparse Code Gradients for Contour Detection

M. Hejrati, D. Ramanan
Tu79
Analyzing 3D Objects in Cluttered Images

S. Karayev, T. Baumgartner, M. Fritz, T. Darrell
Tu80
Timely Object Recognition

S. Hwang, K. Grauman, F. Sha
Tu81
Semantic Kernel Forests from Multiple Taxonomies

S. Fidler, S. Dickinson, R. Urtasun
Tu82
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model

J. Xiao, B. Russell, A. Torralba
Tu83
Localizing 3D cuboids in singleview images

W. Yang, Y. Wang, A. Vahdat, G. Mori
Tu84
Kernel Latent SVM for Visual Recognition

T. Harada
Tu85
Graphical Gaussian Vector for Image Categorization

E. Mezuman, Y. Weiss
Tu86
Learning about Canonical Views from Internet Image Collections

Y. Noh, F. Park, D. Lee
Tu87
Diffusion Decision Making for Adaptive kNearest Neighbor Classification

A. Khosla, J. Xiao, A. Torralba, A. Oliva
Tu88
Modeling the Forgetting Process using Image Regions

F. Cao, S. Ray
Tu89
Bayesian Hierarchical Reinforcement Learning

L. Buesing, J. Macke, M. Sahani
Tu90
Spectral learning of linear dynamics from generalisedlinear observations with application to neural population data

F. Pereira, M. Botvinick
Tu91
A systematic approach to extracting semantic information from functional MRI data

J. Pillow, J. Scott
Tu92
Fully Bayesian inference for neural models with negativebinomial spiking

M. Park, J. Pillow
Tu93
Bayesian active learning with localized priors for fast receptive field characterization

S. Bach, M. Broecheler, L. Getoor, D. O'Leary
Tu41
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization

Wednesday, December 5 
7:30 – 9:30am 
Breakfast 
8:00am – 6:00pm 
Registration Desk 
9:00 – 10:10am 
Oral Session 5Session Chair:Fei Sha 


10:10 – 10:30am 
Spotlight Session 5 


T. Jebara, A. Choromanska
Majorization for CRFs and Latent Likelihoods

A. Lorbert, P. Ramadge
Kernel Hyperalignment

N. Du, L. Song, A. Smola, M. Yuan
Learning Networks of Heterogeneous Influence

K. Muandet, K. Fukumizu, F. Dinuzzo, B. Schölkopf
Learning from Distributions via Support Measure Machines

A. Daniely, S. Sabato, S. ShalevShwartz
Multiclass Learning Approaches: A Theoretical Comparison with Implications

10:30 – 11:00am 
Coffee Break 
11:00 – 11:40am 
Oral Session 6Session Chair:Csaba Szepesvari 


11:40am – 12:05pm 
Spotlight Session 6 


12:05 – 2:00pm 
Lunch Break 
2:00 – 3:30pm 
Oral Session 7Session Chair:Katherine A Heller 


3:30 – 3:50pm 
Spotlight Session 7 


Y. Lan, J. Guo, X. Cheng, T. Liu
Statistical Consistency of Ranking Methods in A RankDifferentiable Probability Space

S. Negahban, S. Oh, D. Shah
Iterative ranking from pairwise comparisons

y. karklin, C. Ekanadham, E. Simoncelli
Hierarchical spike coding of sound

J. Wiens, J. Guttag, E. Horvitz
Patient Risk Stratification for HospitalAssociated C. Diff as a TimeSeries Classification Task

C. Gentile, F. Orabona
On Multilabel Classification and Ranking with Partial Feedback

3:50 – 4:20pm 
Coffee Break 
4:20 – 5:40pm 
Oral Session 8Session Chair:Tiberio Caetano 


5:40 – 6:00pm 
Spotlight Session 8 


P. Gopalan, D. Mimno, S. Gerrish, M. Freedman, D. Blei
Scalable Inference of Overlapping Communities

F. Ruiz, I. Valera, C. Blanco, F. PerezCruz
Bayesian Nonparametric Modeling of Suicide Attempts

M. Zhou, L. Carin
AugmentandConquer Negative Binomial Processes

K. Fukumasu, K. Eguchi, E. Xing
Symmetric Correspondence Topic Models for Multilingual Text Analysis

A. Anandkumar, D. Foster, D. Hsu, S. Kakade, Y. Liu
A Spectral Algorithm for Latent Dirichlet Allocation

7:00 – 11:59pm 
Demonstrations 


P. Kindermans, H. Verschore, D. Verstraeten, B. Schrauwen
A Fast Accurate Trainingless P300 Speller: Unsupervised Learning Uncovers new Possibilities

J. Saxe, D. Mentis, C. Greamo
Cynomix: A Machine Learning Aided Workbench for Rapid Comprehension of Large Malware Corpora

R. Herbrich
DIRTBIS  Distributed RealTime Bayesian Inference Service

Y. Low, H. Gu, C. Guestrin
GraphLab: A Framework For Machine Learning in the Cloud

S. Hershey, B. Vigoda
Hardware Accelerated Belief Propagation

J. Montgomery, M. Reid
Protocols and Structures for Inference: A RESTful API for Machine Learning Services

M. Szummer, M. Henderson, C. Breslin, M. Gasic, D. Kim, B. Thomson, P. Tsiakoulis, S. Young
The BUDS POMDP Spoken Dialogue System

7:00 – 11:59pm 
Poster Session 


J. Ji, J. Li, s. yan, B. Zhang, Q. Tian
W1
SuperBit LocalitySensitive Hashing

G. Montavon, K. Hansen, S. Fazli, M. Rupp, F. Biegler, A. Ziehe, A. Tkatchenko, A. von Lilienfeld, K. Müller
W2
Learning Invariant Representations of Molecules for Atomization Energy Prediction

A. Ba, M. Sinn, Y. Goude, P. Pompey
W3
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting

J. Lee, M. Sun, S. Kim, G. Lebanon
W4
Automatic Feature Induction for Stagewise Collaborative Filtering

Y. Zhen, D. Yeung
W5
CoRegularized Hashing for Multimodal Data

W. Cheng, E. Huellermeier, W. Waegeman, V. Welker
W6
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models

H. Azari Soufiani, D. Parkes, L. Xia
W7
Random Utility Theory for Social Choice: Theory and Algorithms

S. Chaudhuri, B. Raj
W8
Unsupervised Structure Discovery for Semantic Analysis of Audio

y. karklin, C. Ekanadham, E. Simoncelli
W9
Hierarchical spike coding of sound

J. Choi, K. Kim
W10
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions

T. Moldovan, P. Abbeel
W11
Near Optimal Chernoff Bounds for Markov Decision Processes

M. Bellemare, J. Veness, M. Bowling
W12
SketchBased Linear Value Function Approximation

T. Furmston, D. Barber
W13
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes

J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, Q. Le, M. Mao, M. Ranzato, A. Senior, P. Tucker, K. Yang, A. Ng
W14
Large Scale Distributed Deep Networks

R. Gens, P. Domingos
W15
Discriminative Learning of SumProduct Networks

H. Larochelle, S. Lauly
W16
A Neural Autoregressive Topic Model

Y. Chen, H. Lin
W17
Featureaware Label Space Dimension Reduction for Multilabel Classification

B. Lin, S. Yang, C. Zhang, J. Ye, X. He
W18
Multitask Vector Field Learning

N. Mehta, D. Lee, A. Gray
W19
Minimax MultiTask Learning and a Generalized LossCompositional Paradigm for MTL

Y. Zhang, J. Duchi, M. Wainwright
W20
CommunicationEfficient Algorithms for Statistical Optimization

A. Kapoor, R. Viswanathan, P. Jain
W21
Multilabel Classification using Bayesian Compressed Sensing

V. Rao, Y. Teh
W22
MCMC for continuoustime discretestate systems

F. Lindsten, M. Jordan, T. Schön
W23
Ancestor Sampling for Particle Gibbs

J. Huang, D. Alexander
W24
Probabilistic Event Cascades for Alzheimer's disease

B. Kirkpatrick, A. BouchardCôté
W25
Bayesian Pedigree Analysis using Measure Factorization

A. Freno, M. Keller, M. Tommasi
W26
Fiedler Random Fields: A LargeScale Spectral Approach to Statistical Network Modeling

S. Yoon, V. Pavlovic
W27
Distributed Probabilistic Learning for Camera Networks with Missing Data

P. Loh, M. Wainwright
W28
No voodoo here! Learning discrete graphical models via inverse covariance estimation

P. Gopalan, D. Mimno, S. Gerrish, M. Freedman, D. Blei
W29
Scalable Inference of Overlapping Communities

L. Liu, T. Dietterich
W30
Probabilistic Topic Coding for Superset Label Learning

M. Zhou, L. Carin
W31
AugmentandConquer Negative Binomial Processes

J. Zou, R. Adams
W32
Priors for Diversity in Generative Latent Variable Models

C. Lampert
W33
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction

Q. Liu, J. Peng, A. Ihler
W34
Variational Inference for Crowdsourcing

A. Kulesza, J. Gillenwater, B. Taskar
W35
NearOptimal MAP Inference for Determinantal Point Processes

E. Challis, D. Barber
W36
Affine Independent Variational Inference

M. Bryant, E. Sudderth
W37
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes

M. Hughes, E. Fox, E. Sudderth
W38
Effective SplitMerge Monte Carlo Methods for Nonparametric Models of Sequential Data

C. Wang, D. Blei
W39
Truncationfree Online Variational Inference for Bayesian Nonparametric Models

D. Knowles, K. Palla, Z. Ghahramani
W41
A nonparametric variable clustering model

F. Caron, Y. Teh
W42
Bayesian nonparametric models for ranked data

Y. Wang, B. Chaibdraa
W43
A Marginalized Particle Gaussian Process Regression

M. Fiori, P. Muse, G. Sapiro
W45
Topology Constraints in Graphical Models

A. Anandkumar, D. Hsu, F. Huang, S. Kakade
W46
Learning Mixtures of Tree Graphical Models

A. Defazio, T. Caetano
W47
A Convex Formulation for Learning ScaleFree Networks via Submodular Relaxation

E. Yang, P. Ravikumar, G. Allen, z. Liu
W48
Graphical Models via Generalized Linear Models

R. Jenatton, N. Le Roux, A. Bordes, G. Obozinski
W49
A latent factor model for highly multirelational data

Q. Ho, J. Yin, E. Xing
W50
On Triangular versus Edge Representations  Towards Scalable Modeling of Networks

P. Vernaza, D. Bagnell
W51
Efficient high dimensional maximum entropy modeling via symmetric partition functions

P. Rai, A. Kumar, H. Daume III
W52
Simultaneously Leveraging Output and Task Structures for MultipleOutput Regression

A. Shukla, A. Billard
W53
AugmentedSVM: Automatic space partitioning for combining multiple nonlinear dynamics

J. Wang, V. Saligrama
W54
Local Supervised Learning through Space Partitioning

W. Bi, J. Kwok
W55
Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification

J. CidSueiro
W56
Proper losses for learning from partial labels

Y. Mroueh, T. Poggio, L. Rosasco, J. Slotine
W57
Multiclass Learning with Simplex Coding

A. Daniely, S. Sabato, S. ShalevShwartz
W58
Multiclass Learning Approaches: A Theoretical Comparison with Implications

T. Caetano, X. Liu, J. Petterson
W59
Learning as MAP Inference in Discrete Graphical Models

S. Sra
W60
A new metric on the manifold of kernel matrices with application to matrix geometric means

N. Du, L. Song, A. Smola, M. Yuan
W61
Learning Networks of Heterogeneous Influence

A. Lorbert, P. Ramadge
W62
Kernel Hyperalignment

T. Jebara, A. Choromanska
W63
Majorization for CRFs and Latent Likelihoods

J. Duchi, M. Jordan, M. Wainwright
W64
Privacy Aware Learning

Y. Lan, J. Guo, X. Cheng, T. Liu
W65
Statistical Consistency of Ranking Methods in A RankDifferentiable Probability Space

A. Anandkumar, D. Foster, D. Hsu, S. Kakade, Y. Liu
W66
A Spectral Algorithm for Latent Dirichlet Allocation

V. Kanade, Z. Liu, B. Radunovic
W67
Distributed NonStochastic Experts

A. Khaleghi, D. Ryabko
W68
Locating Changes in Highly Dependent Data with Unknown Number of Change Points

C. Calauzènes, N. Usunier, P. Gallinari
W69
On the (Non)existence of Convex, Calibrated Surrogate Losses for Ranking

H. Ramaswamy, S. Agarwal
W70
Classification Calibration Dimension for General Multiclass Losses

N. CesaBianchi, C. Gentile, F. Vitale, G. Zappella
W71
A Linear Time Active Learning Algorithm for Link Classification

S. Rakhlin, O. Shamir, K. Sridharan
W72
Relax and Randomize : From Value to Algorithms

N. CesaBianchi, P. Gaillard, G. Lugosi, G. Stoltz
W73
Mirror Descent Meets Fixed Share (and feels no regret)

V. Gabillon, M. Ghavamzadeh, A. Lazaric
W74
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence

T. van Erven, P. Grunwald, M. Reid, R. Williamson
W75
Mixability in Statistical Learning

M. Streeter, B. McMahan
W76
NoRegret Algorithms for Unconstrained Online Convex Optimization

L. Ralaivola
W77
ConfusionBased Online Learning and a PassiveAggressive Scheme

C. Jin, L. Wang
W78
Dimensionality Dependent PACBayes Margin Bound

E. Coviello, A. Chan, G. Lanckriet
W79
The variational hierarchical EM algorithm for clustering hidden Markov models.

A. Ahmed, S. Ravi, S. Narayanamurthy, A. Smola
W80
FastEx: Fast Clustering with Exponential Families

Y. Chen, S. Sanghavi, H. Xu
W81
Clustering Sparse Graphs

K. Fukumasu, K. Eguchi, E. Xing
W82
Symmetric Correspondence Topic Models for Multilingual Text Analysis

M. Paul, M. Dredze
W83
Factorial LDA: Sparse MultiDimensional Text Models

A. Eigenstetter, B. Ommer
W84
Visual Recognition using Embedded Feature Selection for Curvature SelfSimilarity

P. Kontschieder, S. Bulò, A. Criminisi, P. Kohli, M. Pelillo, H. Bischof
W85
ContextSensitive Decision Forests for Object Detection

J. Abbott, J. Austerweil, T. Griffiths
W86
Human memory search as a random walk in a semantic network

T. Nguyen, T. Silander, T. Leong
W87
Transferring Expectations in Modelbased Reinforcement Learning

B. Liu, S. Mahadevan, J. Liu
W88
Regularized OffPolicy TDLearning

T. Ueno, Y. Kawahara, K. Hayashi, T. Washio
W89
Weighted Likelihood Policy Search with Model Selection

S. Druckmann, T. Hu, D. Chklovskii
W90
A mechanistic model of early sensory processing based on subtracting sparse representations

H. Wang, F. Nie, H. Huang, J. Yan, S. Kim, S. Risacher, A. Saykin, L. Shen
W91
HighOrder MultiTask Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer Disease Progression Prediction

Z. Wang, A. Stocker, D. Lee
W92
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss

C. Blundell, K. Heller, J. Beck
W40
Modelling Reciprocating Relationships with Hawkes processes

K. Mohan, M. Chung, S. Han, D. Witten, S. Lee, M. Fazel
W44
Structured learning of Gaussian graphical models

P. Liang, S. Kakade, D. Hsu
W93
Identifiability and Unmixing of Latent Parse Trees

Thursday, December 6 
7:30 – 9:30am 
Breakfast 
8:00am – 6:00pm 
Registration Desk 
9:00 – 10:10am 
Oral Session 9Session Chair:JeanPhilippe Vert 


10:10 – 10:30am 
Spotlight Session 9 


J. Beck, K. Heller, A. Pouget
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models

f. janoos, W. Li, N. Subrahmanya, I. Morocz, W. Wells
Identification of Recurrent Patterns in the Activation of Brain Networks

C. Fung, K. Wong, S. Wu
Delay Compensation with Dynamical Synapses

S. Bohte
Efficient SpikeCoding with Multiplicative Adaptation in a Spike Response Model

P. Lena, P. Baldi, K. Nagata
Deep SpatioTemporal Architectures and Learning for Protein Structure Prediction

10:30 – 10:50am 
Coffee Break 
10:50am – 12:00pm 
Oral Session 10Session Chair:Alex J Smola 


12:00 – 12:20pm 
Spotlight Session 10 


12:20 – 12:30pm 
Closing Remarks 
12:30 – 2:00pm 
Lunch Break 
2:00 – 6:00pm 
Poster Session 


J. Fruitet, A. Carpentier, R. Munos, M. Clerc
Th1
Bandit Algorithms boost Brain Computer Interfaces for motortask selection of a braincontrolled button

J. Wiens, J. Guttag, E. Horvitz
Th2
Patient Risk Stratification for HospitalAssociated C. Diff as a TimeSeries Classification Task

A. Mnih, Y. Teh
Th3
Learning Label Trees for Probabilistic Modelling of Implicit Feedback

M. Volkovs, R. Zemel
Th4
Collaborative Ranking With 17 Parameters

J. He, H. Tong, Q. Mei, B. Szymanski
Th6
GenDeR: A Generic Diversified Ranking Algorithm

S. Negahban, S. Oh, D. Shah
Th7
Iterative ranking from pairwise comparisons

S. Boyd, C. Cortes, M. Mohri, A. Radovanovic
Th8
Accuracy at the Top

J. McAuley, J. Leskovec
Th9
Learning to Discover Social Circles in Ego Networks

Y. Wang, D. Wang
Th10
Cocktail Party Processing via Structured Prediction

B. Scherrer, B. Lesner
Th11
On the Use of NonStationary Policies for Stationary InfiniteHorizon Markov Decision Processes

N. Bhat, C. Moallemi, V. Farias
Th12
Nonparametric Approximate Dynamic Programming via the Kernel Method

H. He, H. Daume III, J. Eisner
Th13
Imitation Learning by Coaching

E. Klein, M. Geist, B. PIOT, O. Pietquin
Th14
Inverse Reinforcement Learning through Structured Classification

A. Guez, D. Silver, P. Dayan
Th15
Efficient BayesAdaptive Reinforcement Learning using SampleBased Search

A. Wilson, A. Fern, P. Tadepalli
Th16
A Bayesian Approach for Policy Learning from Trajectory Preference Queries

A. Farahmand, D. Precup
Th17
Value Pursuit Iteration

R. Ortner, D. Ryabko
Th18
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning

T. Osogami
Th19
Robustness and risksensitivity in Markov decision processes

F. Trevizan, M. Veloso
Th20
TrajectoryBased ShortSighted Probabilistic Planning

D. Kim, K. Kim, P. Poupart
Th21
CostSensitive Exploration in Bayesian Reinforcement Learning

R. Socher, B. Bath, B. Huval, C. Manning, A. Ng
Th22
Recursive Deep Learning on 3D Point Clouds

P. Lena, P. Baldi, K. Nagata
Th23
Deep SpatioTemporal Architectures and Learning for Protein Structure Prediction

J. Xie, L. Xu, E. Chen
Th24
Image Denoising and Inpainting with Deep Neural Networks

D. Ba, B. Babadi, P. Purdon, E. Brown
Th26
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential ℓ1Minimization

X. Pitkow
Th27
Compressive neural representation of sparse, highdimensional probabilities

K. Tang, V. Ramanathan, F. Li, D. Koller
Th28
Shifting Weights: Adapting Object Detectors from Image to Video

P. Gong, J. Ye, C. Zhang
Th29
MultiStage MultiTask Feature Learning

B. Recht, C. Re, J. Tropp, V. Bittorf
Th30
Factoring nonnegative matrices with linear programs

J. Lee, Y. Sun, M. Saunders
Th31
Proximal Newtontype Methods for Minimizing Convex Objective Functions in Composite Form

K. Tsianos, S. Lawlor, M. Rabbat
Th32
Communication/Computation Tradeoffs in ConsensusBased Distributed Optimization

M. Pilanci, L. El Ghaoui, V. Chandrasekaran
Th33
Recovery of Sparse Probability Measures via Convex Programming

P. Olsen, F. Oztoprak, J. Nocedal, S. Rennie
Th34
NewtonLike Methods for Sparse Inverse Covariance Estimation

S. Becker, J. Fadili
Th35
A quasiNewton proximal splitting method

K. Jamieson, R. Nowak, B. Recht
Th36
Query Complexity of DerivativeFree Optimization

H. Ohlsson, A. Yang, R. Dong, S. Sastry
Th37
CPRL  An Extension of Compressive Sensing to the Phase Retrieval Problem

X. Zhang, L. Carin
Th38
Joint Modeling of a Matrix with Associated Text via Latent Binary Features

S. Babacan, S. Nakajima, M. Do
Th39
Probabilistic LowRank Subspace Clustering

K. Swersky, D. Tarlow, R. Zemel, R. Adams, B. Frey
Th40
Bayesian nChoosek Models for Classification and Ranking

F. Ruiz, I. Valera, C. Blanco, F. PerezCruz
Th41
Bayesian Nonparametric Modeling of Suicide Attempts

F. Caron
Th42
Bayesian nonparametric models for bipartite graphs

D. Lin, J. Fisher III
Th43
Coupling Nonparametric Mixtures via Latent Dirichlet Processes

E. Fox, D. Dunson
Th44
Multiresolution Gaussian Processes

M. LazaroGredilla
Th45
Bayesian Warped Gaussian Processes

N. Houlsby, J. HernándezLobato, F. Huszar, Z. Ghahramani
Th46
Collaborative Gaussian Processes for Preference Learning

G. Elidan, C. Cario
Th47
Nonparanormal Belief Propagation (NPBP)

M. Der, L. Saul
Th48
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning

A. GuzmánRivera, D. Batra, P. Kohli
Th49
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs

S. Gopal, Y. Yang, B. Bai, A. NiculescuMizil
Th51
Bayesian models for Largescale Hierarchical Classification

H. Kadri, A. Rakotomamonjy, F. Bach, p. preux
Th52
Multiple Operatorvalued Kernel Learning

K. Fukumizu, C. Leng
Th53
Gradientbased kernel method for feature extraction and variable selection

K. Muandet, K. Fukumizu, F. Dinuzzo, B. Schölkopf
Th54
Learning from Distributions via Support Measure Machines

R. Foygel, M. Horrell, M. Drton, J. Lafferty
Th55
Nonparametric Reduced Rank Regression

Y. Wiener, R. ElYaniv
Th56
Pointwise Tracking the Optimal Regression Function

E. Richard, S. Gaiffas, N. Vayatis
Th57
Link Prediction in Graphs with Autoregressive Features

S. Kpotufe, A. Boularias
Th58
Gradient Weights help Nonparametric Regressors

A. Das, A. Dasgupta, R. Kumar
Th59
Selecting Diverse Features via Spectral Regularization

A. Argyriou, R. Foygel, N. Srebro
Th60
Sparse Prediction with the $k$Support Norm

A. Dalalyan, Y. Chen
Th61
Fused sparsity and robust estimation for linear models with unknown variance

D. Wipf
Th62
DualSpace Analysis of the Sparse Linear Model

P. Li, C. Zhang
Th63
Entropy Estimations Using Correlated Symmetric Stable Random Projections

D. Ryabko, J. Mary
Th64
Reducing statistical timeseries problems to binary classification

C. Gentile, F. Orabona
Th65
On Multilabel Classification and Ranking with Partial Feedback

T. Yang, Y. Li, M. Mahdavi, R. Jin, Z. Zhou
Th66
Nystr{ö}m Method vs Random Fourier Features: A Theoretical and Empirical Comparison

G. Canas, T. Poggio, L. Rosasco
Th67
Learning Manifolds with KMeans and KFlats

Q. Gu, T. Zhang, C. Ding, J. Han
Th68
Selective Labeling via Error Bound Minimization

J. Yi, R. Jin, A. Jain, S. Jain
Th69
SemiCrowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning

D. Luo, C. Ding, H. Huang
Th70
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach

M. Norouzi, R. Salakhutdinov, D. Fleet
Th71
Hamming Distance Metric Learning

J. Wang, A. Kalousis, A. Woznica
Th72
Parametric Local Metric Learning for Nearest Neighbor Classification

D. Kedem, S. Tyree, K. Weinberger, F. Sha, G. Lanckriet
Th73
Nonlinear Metric Learning

Q. Jiang, J. Zhu, M. Sun, E. Xing
Th74
Monte Carlo Methods for Maximum Margin Supervised Topic Models

P. Krafft, J. Moore, H. Wallach, B. Desmarais
Th75
TopicPartitioned Multinetwork Embeddings

O. Vinyals, Y. Jia, L. Deng, T. Darrell
Th76
Learning with Recursive Perceptual Representations

D. Zoran, Y. Weiss
Th77
Natural Images, Gaussian Mixtures and Dead Leaves

W. Zou, A. Ng, S. Zhu, K. Yu
Th78
Deep Learning of invariant features via tracked video sequences

x. wang, L. Lin
Th79
Dynamical AndOr Graph Learning for Object Shape Modeling and Detection

B. Alexe, N. Heess, Y. Teh, V. Ferrari
Th80
Searching for objects driven by context

T. Trzcinski, C. Christoudias, V. Lepetit, P. Fua
Th81
Learning Image Descriptors with the BoostingTrick

M. Lopes, T. Lang, M. Toussaint, P. Oudeyer
Th82
Exploration in Modelbased Reinforcement Learning by Empirically Estimating Learning Progress

R. Bourdoukan, D. Barrett, C. Machens, S. Denève
Th83
Learning optimal spikebased representations

f. janoos, W. Li, N. Subrahmanya, I. Morocz, W. Wells
Th84
Identification of Recurrent Patterns in the Activation of Brain Networks

B. Vintch, A. Zaharia, J. Movshon, E. Simoncelli
Th85
Efficient and direct estimation of a neural subunit model for sensory coding

Y. Huang, A. Friesen, T. Hanks, M. Shadlen, R. Rao
Th86
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model

S. Bohte
Th87
Efficient SpikeCoding with Multiplicative Adaptation in a Spike Response Model

H. Terashima, M. Okada
Th88
The topographic unsupervised learning of natural sounds in the auditory cortex

P. Shenoy, A. Yu
Th89
Strategic Impatience in Go/NoGo versus ForcedChoice DecisionMaking

C. Fung, K. Wong, S. Wu
Th90
Delay Compensation with Dynamical Synapses

D. Chklovskii
Th91
Neuronal spike generation mechanism as an oversampling, noiseshaping AtoD converter

J. Beck, K. Heller, A. Pouget
Th92
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models

A. Krizhevsky, I. Sutskever, G. Hinton
Th25
ImageNet Classification with Deep Convolutional Neural Networks

D. Zhou, J. Platt, S. Basu, Y. Mao
Th50
Learning from the Wisdom of Crowds by Minimax Entropy
