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Volume 33: Artificial Intelligence and Statistics, 22-25 April 2014, Reykjavik, Iceland
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Editors: Samuel Kaski, Jukka Corander
Preface
Preface
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:i-iv
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Notable Papers
Decontamination of Mutually Contaminated Models
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1-9
Distributed optimization of deeply nested systems
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:10-19
Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes?
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:20-28
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Regular Papers
Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:29-37
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Information-Theoretic Characterization of Sparse Recovery
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:38-46
Hybrid Discriminative-Generative Approach with Gaussian Processes
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:47-56
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:57-67
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A New Perspective on Learning Linear Separators with Large L_qL_p Margins
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:68-76
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:77-85
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Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:86-95
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Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:96-104
PAC-Bayesian Theory for Transductive Learning
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:105-113
Random Bayesian networks with bounded indegree
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:114-121
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Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:122-130
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Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:131-139
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Doubly Aggressive Selective Sampling Algorithms for Classification
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:140-148
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:149-158
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Sparsity and the Truncated $l^2$-norm
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:159-166
Efficient Distributed Topic Modeling with Provable Guarantees
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:167-175
Pan-sharpening with a Bayesian nonparametric dictionary learning model
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:176-184
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Approximate Slice Sampling for Bayesian Posterior Inference
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:185-193
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Bayesian Logistic Gaussian Process Models for Dynamic Networks
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:194-201
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Avoiding pathologies in very deep networks
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:202-210
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Efficient Inference for Complex Queries on Complex Distributions
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:211-219
Bayesian Switching Interaction Analysis Under Uncertainty
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:220-228
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Robust learning of inhomogeneous PMMs
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:229-237
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Fully-Automatic Bayesian Piecewise Sparse Linear Models
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:238-246
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Learning with Maximum A-Posteriori Perturbation Models
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:247-256
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Sketching the Support of a Probability Measure
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:257-265
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Robust Stochastic Principal Component Analysis
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:266-274
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Bayesian Nonparametric Poisson Factorization for Recommendation Systems
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:275-283
Efficiently Enforcing Diversity in Multi-Output Structured Prediction
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:284-292
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Learning and Evaluation in Presence of Non-i.i.d. Label Noise
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:293-302
Analytic Long-Term Forecasting with Periodic Gaussian Processes
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:303-311
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On Estimating Causal Effects based on Supplemental Variables
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:312-319
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Non-Asymptotic Analysis of Relational Learning with One Network
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:320-327
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Exploiting the Limits of Structure Learning via Inherent Symmetry
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:328-337
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A Statistical Model for Event Sequence Data
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:338-346
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Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:347-355
Tilted Variational Bayes
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:356-364
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:365-374
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:375-383
Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:384-392
Latent Gaussian Models for Topic Modeling
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:393-401
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A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:402-410
Global Optimization Methods for Extended Fisher Discriminant Analysis
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:411-419
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:420-429
Near Optimal Bayesian Active Learning for Decision Making
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:430-438
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:439-447
New Bounds on Compressive Linear Least Squares Regression
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:448-456
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Recovering Distributions from Gaussian RKHS Embeddings
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:457-465
Collaborative Ranking for Local Preferences
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:466-474
Scalable Collaborative Bayesian Preference Learning
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:475-483
A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:484-492
Scalable Variational Bayesian Matrix Factorization with Side Information
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:493-502
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Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:503-511
Visual Boundary Prediction: A Deep Neural Prediction Network and Quality Dissection
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:512-521
Low-Rank Spectral Learning
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:522-530
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Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:531-539
Computational Education using Latent Structured Prediction
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:540-548
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Towards building a Crowd-Sourced Sky Map
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:549-557
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Incremental Tree-Based Inference with Dependent Normalized Random Measures
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:558-566
Jointly Informative Feature Selection
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:567-575
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Learning Heterogeneous Hidden Markov Random Fields
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:576-584
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PAC-Bayesian Collective Stability
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:585-594
Active Area Search via Bayesian Quadrature
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:595-603
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Active Boundary Annotation using Random MAP Perturbations
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:604-613
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Interpretable Sparse High-Order Boltzmann Machines
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:614-622
Efficient Lifting of MAP LP Relaxations Using k-Locality
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:623-632
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A Geometric Algorithm for Scalable Multiple Kernel Learning
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:633-642
On the Testability of Models with Missing Data
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:643-650
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Selective Sampling with Drift
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:651-659
The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:660-668
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Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:669-677
Robust Forward Algorithms via PAC-Bayes and Laplace Distributions
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:678-686
Joint Structure Learning of Multiple Non-Exchangeable Networks
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:687-695
Scaling Nonparametric Bayesian Inference via Subsample-Annealing
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:696-705
Fast Distribution To Real Regression
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:706-714
FuSSO: Functional Shrinkage and Selection Operator
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:715-723
To go deep or wide in learning?
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:724-732
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LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:733-742
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Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:743-750
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Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:751-759
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An Efficient Algorithm for Large Scale Compressive Feature Learning
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:760-768
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:769-777
An inclusion optimal algorithm for chain graph structure learning
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:778-786
A Stepwise uncertainty reduction approach to constrained global optimization
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:787-795
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Connected Sub-graph Detection
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:796-804
An Analysis of Active Learning with Uniform Feature Noise
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:805-813
Black Box Variational Inference
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:814-822
Cluster Canonical Correlation Analysis
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:823-831
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Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:832-840
Learning Structured Models with the AUC Loss and Its Generalizations
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:841-849
Class Proportion Estimation with Application to Multiclass Anomaly Rejection
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:850-858
Lifted MAP Inference for Markov Logic Networks
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:859-867
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Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:868-876
Student-t Processes as Alternatives to Gaussian Processes
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:877-885
In Defense of Minhash over Simhash
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:886-894
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Loopy Belief Propagation in the Presence of Determinism
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:895-903
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Explicit Link Between Periodic Covariance Functions and State Space Models
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:904-912
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Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:913-921
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SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:922-930
Adaptive Variable Clustering in Gaussian Graphical Models
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:931-939
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Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:940-947
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Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:948-957
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Active Learning for Undirected Graphical Model Selection
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:958-967
Linear-time training of nonlinear low-dimensional embeddings
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:968-977
Gaussian Copula Precision Estimation with Missing Values
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:978-986
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An LP for Sequential Learning Under Budgets
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:987-995
Efficient Algorithms and Error Analysis for the Modified Nystrom Method
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:996-1004
Bayesian Multi-Scale Optimistic Optimization
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1005-1014
Accelerating ABC methods using Gaussian processes
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1015-1023
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A New Approach to Probabilistic Programming Inference
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1024-1032
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Dynamic Resource Allocation for Optimizing Population Diffusion
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1033-1041
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Mixed Graphical Models via Exponential Families
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1042-1050
Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1051-1059
Nonparametric estimation and testing of exchangeable graph models
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1060-1067
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Generating Efficient MCMC Kernels from Probabilistic Programs
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1068-1076
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Efficient Transfer Learning Method for Automatic Hyperparameter Tuning
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1077-1085
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Accelerated Stochastic Gradient Method for Composite Regularization
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1086-1094
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Heterogeneous Domain Adaptation for Multiple Classes
; Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:1095-1103
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