| 2014 | A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models. Ruitong Huang, Csaba Szepesvári |
| 2014 | A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data. Do-kyum Kim, Matthew F. Der, Lawrence K. Saul |
| 2014 | A Geometric Algorithm for Scalable Multiple Kernel Learning. John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha |
| 2014 | A Level-set Hit-and-run Sampler for Quasi-Concave Distributions. Shane T. Jensen, Dean P. Foster |
| 2014 | A New Approach to Probabilistic Programming Inference. Frank D. Wood, Jan-Willem van de Meent, Vikash Mansinghka |
| 2014 | A New Perspective on Learning Linear Separators with Large \(L_qL_p\) Margins. Maria-Florina Balcan, Christopher Berlind |
| 2014 | A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response. Ava Bargi, Richard Yi Da Xu, Zoubin Ghahramani, Massimo Piccardi |
| 2014 | A Statistical Model for Event Sequence Data. Kevin Heins, Hal S. Stern |
| 2014 | A Stepwise uncertainty reduction approach to constrained global optimization. Victor Picheny |
| 2014 | Accelerated Stochastic Gradient Method for Composite Regularization. Wenliang Zhong, James Tin-Yau Kwok |
| 2014 | Accelerating ABC methods using Gaussian processes. Richard Wilkinson |
| 2014 | Active Area Search via Bayesian Quadrature. Yifei Ma, Roman Garnett, Jeff G. Schneider |
| 2014 | Active Boundary Annotation using Random MAP Perturbations. Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola |
| 2014 | Active Learning for Undirected Graphical Model Selection. Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk |
| 2014 | Adaptive Variable Clustering in Gaussian Graphical Models. Siqi Sun, Yuancheng Zhu, Jinbo Xu |
| 2014 | Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold. Franz J. Király, Martin Ehler |
| 2014 | An Analysis of Active Learning with Uniform Feature Noise. Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman |
| 2014 | An Efficient Algorithm for Large Scale Compressive Feature Learning. Hristo S. Paskov, John C. Mitchell, Trevor J. Hastie |
| 2014 | An LP for Sequential Learning Under Budgets. Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama |
| 2014 | An inclusion optimal algorithm for chain graph structure learning. José M. Peña, Dag Sonntag, Jens Dalgaard Nielsen |
| 2014 | Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes? Shinichi Nakajima, Masashi Sugiyama |
| 2014 | Analytic Long-Term Forecasting with Periodic Gaussian Processes. Nooshin HajiGhassemi, Marc Peter Deisenroth |
| 2014 | Approximate Slice Sampling for Bayesian Posterior Inference. Christopher DuBois, Anoop Korattikara Balan, Max Welling, Padhraic Smyth |
| 2014 | Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs. Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank |
| 2014 | Avoiding pathologies in very deep networks. David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani |
| 2014 | Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel. Vassilios Stathopoulos, Veronica Zamora-Gutierrez, Kate E. Jones, Mark A. Girolami |
| 2014 | Bayesian Logistic Gaussian Process Models for Dynamic Networks. Daniele Durante, David B. Dunson |
| 2014 | Bayesian Multi-Scale Optimistic Optimization. Ziyu Wang, Babak Shakibi, Lin Jin, Nando de Freitas |
| 2014 | Bayesian Nonparametric Poisson Factorization for Recommendation Systems. Prem Gopalan, Francisco J. R. Ruiz, Rajesh Ranganath, David M. Blei |
| 2014 | Bayesian Switching Interaction Analysis Under Uncertainty. Zoran Dzunic, John W. Fisher III |
| 2014 | Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee |
| 2014 | Black Box Variational Inference. Rajesh Ranganath, Sean Gerrish, David M. Blei |
| 2014 | Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems. Robert Cohn, Satinder Singh, Edmund H. Durfee |
| 2014 | Class Proportion Estimation with Application to Multiclass Anomaly Rejection. Tyler Sanderson, Clayton Scott |
| 2014 | Cluster Canonical Correlation Analysis. Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal |
| 2014 | Collaborative Ranking for Local Preferences. Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara |
| 2014 | Computational Education using Latent Structured Prediction. Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross |
| 2014 | Connected Sub-graph Detection. Jing Qian, Venkatesh Saligrama, Yuting Chen |
| 2014 | Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies. Juemin Yang, Fang Han, Rafael A. Irizarry, Han Liu |
| 2014 | Decontamination of Mutually Contaminated Models. Gilles Blanchard, Clayton Scott |
| 2014 | Distributed optimization of deeply nested systems. Miguel Á. Carreira-Perpiñán, Weiran Wang |
| 2014 | Doubly Aggressive Selective Sampling Algorithms for Classification. Koby Crammer |
| 2014 | Dynamic Resource Allocation for Optimizing Population Diffusion. Shan Xue, Alan Fern, Daniel Sheldon |
| 2014 | Efficient Algorithms and Error Analysis for the Modified Nystrom Method. Shusen Wang, Zhihua Zhang |
| 2014 | Efficient Distributed Topic Modeling with Provable Guarantees. Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama |
| 2014 | Efficient Inference for Complex Queries on Complex Distributions. Lili Dworkin, Michael J. Kearns, Lirong Xia |
| 2014 | Efficient Lifting of MAP LP Relaxations Using k-Locality. Martin Mladenov, Kristian Kersting, Amir Globerson |
| 2014 | Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs. Jianhui Chen, Tianbao Yang, Shenghuo Zhu |
| 2014 | Efficient Transfer Learning Method for Automatic Hyperparameter Tuning. Dani Yogatama, Gideon Mann |
| 2014 | Efficiently Enforcing Diversity in Multi-Output Structured Prediction. Abner Guzmán-Rivera, Pushmeet Kohli, Dhruv Batra, Rob A. Rutenbar |
| 2014 | Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations. Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen |
| 2014 | Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables. Tomi Peltola, Pasi Jylänki, Aki Vehtari |
| 2014 | Explicit Link Between Periodic Covariance Functions and State Space Models. Arno Solin, Simo Särkkä |
| 2014 | Exploiting the Limits of Structure Learning via Inherent Symmetry. Peng He, Changshui Zhang |
| 2014 | Fast Distribution To Real Regression. Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing |
| 2014 | FuSSO: Functional Shrinkage and Selection Operator. Junier B. Oliva, Barnabás Póczos, Timothy D. Verstynen, Aarti Singh, Jeff G. Schneider, Fang-Cheng Yeh, Wen-Yih Isaac Tseng |
| 2014 | Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing |
| 2014 | Fully-Automatic Bayesian Piecewise Sparse Linear Models. Riki Eto, Ryohei Fujimaki, Satoshi Morinaga, Hiroshi Tamano |
| 2014 | Gaussian Copula Precision Estimation with Missing Values. Huahua Wang, Farideh Fazayeli, Soumyadeep Chatterjee, Arindam Banerjee |
| 2014 | Generating Efficient MCMC Kernels from Probabilistic Programs. Lingfeng Yang, Pat Hanrahan, Noah D. Goodman |
| 2014 | Global Optimization Methods for Extended Fisher Discriminant Analysis. Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda |
| 2014 | Heterogeneous Domain Adaptation for Multiple Classes. Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan |
| 2014 | High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation. Rafael Izbicki, Ann B. Lee, Chad Schafer |
| 2014 | Hybrid Discriminative-Generative Approach with Gaussian Processes. Ricardo Andrade Pacheco, James Hensman, Max Zwiessele, Neil D. Lawrence |
| 2014 | Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes. Nir Ailon |
| 2014 | In Defense of Minhash over Simhash. Anshumali Shrivastava, Ping Li |
| 2014 | Incremental Tree-Based Inference with Dependent Normalized Random Measures. Juho Lee, Seungjin Choi |
| 2014 | Information-Theoretic Characterization of Sparse Recovery. Cem Aksoylar, Venkatesh Saligrama |
| 2014 | Interpretable Sparse High-Order Boltzmann Machines. Martin Renqiang Min, Xia Ning, Chao Cheng, Mark Gerstein |
| 2014 | Joint Structure Learning of Multiple Non-Exchangeable Networks. Chris J. Oates, Sach Mukherjee |
| 2014 | Jointly Informative Feature Selection. Leonidas Lefakis, François Fleuret |
| 2014 | LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series. Yubin Park, Carlos Carvalho, Joydeep Ghosh |
| 2014 | Latent Gaussian Models for Topic Modeling. Changwei Hu, Eunsu Ryu, David E. Carlson, Yingjian Wang, Lawrence Carin |
| 2014 | Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming. Pekka Parviainen, Hossein Shahrabi Farahani, Jens Lagergren |
| 2014 | Learning Heterogeneous Hidden Markov Random Fields. Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page |
| 2014 | Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability. Jeremias Berg, Matti Järvisalo, Brandon M. Malone |
| 2014 | Learning Structured Models with the AUC Loss and Its Generalizations. Nir Rosenfeld, Ofer Meshi, Daniel Tarlow, Amir Globerson |
| 2014 | Learning and Evaluation in Presence of Non-i.i.d. Label Noise. Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft |
| 2014 | Learning with Maximum A-Posteriori Perturbation Models. Andreea Gane, Tamir Hazan, Tommi S. Jaakkola |
| 2014 | Lifted MAP Inference for Markov Logic Networks. Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate |
| 2014 | Linear-time training of nonlinear low-dimensional embeddings. Max Vladymyrov, Miguel Á. Carreira-Perpiñán |
| 2014 | Loopy Belief Propagation in the Presence of Determinism. David B. Smith, Vibhav Gogate |
| 2014 | Low-Rank Spectral Learning. Alex Kulesza, N. Raj Rao, Satinder Singh |
| 2014 | Mixed Graphical Models via Exponential Families. Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu |
| 2014 | Near Optimal Bayesian Active Learning for Decision Making. Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha S. Srinivasa |
| 2014 | New Bounds on Compressive Linear Least Squares Regression. Ata Kabán |
| 2014 | Non-Asymptotic Analysis of Relational Learning with One Network. Peng He, Changshui Zhang |
| 2014 | Nonparametric estimation and testing of exchangeable graph models. Justin Yang, Christina Han, Edoardo M. Airoldi |
| 2014 | On Estimating Causal Effects based on Supplemental Variables. Takahiro Hayashi, Manabu Kuroki |
| 2014 | On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. Matthew W. Hoffman, Bobak Shahriari, Nando de Freitas |
| 2014 | On the Testability of Models with Missing Data. Karthika Mohan, Judea Pearl |
| 2014 | Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion. Mathieu Blondel, Yotaro Kubo, Naonori Ueda |
| 2014 | Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors. Junya Honda, Akimichi Takemura |
| 2014 | PAC-Bayesian Collective Stability. Ben London, Bert Huang, Ben Taskar, Lise Getoor |
| 2014 | PAC-Bayesian Theory for Transductive Learning. Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy |
| 2014 | Pan-sharpening with a Bayesian nonparametric dictionary learning model. Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley |
| 2014 | Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression. Divyanshu Vats, Richard G. Baraniuk |
| 2014 | Preface. Samuel Kaski, Jukka Corander |
| 2014 | Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics. Philipp Hennig, Søren Hauberg |
| 2014 | Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014 |
| 2014 | Random Bayesian networks with bounded indegree. Eunice Yuh-Jie Chen, Judea Pearl |
| 2014 | Recovering Distributions from Gaussian RKHS Embeddings. Motonobu Kanagawa, Kenji Fukumizu |
| 2014 | Robust Forward Algorithms via PAC-Bayes and Laplace Distributions. Asaf Noy, Koby Crammer |
| 2014 | Robust Stochastic Principal Component Analysis. John Goes, Teng Zhang, Raman Arora, Gilad Lerman |
| 2014 | Robust learning of inhomogeneous PMMs. Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse |
| 2014 | SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication. Rebecca C. Steorts, Rob Hall, Stephen E. Fienberg |
| 2014 | Scalable Collaborative Bayesian Preference Learning. Mohammad Emtiyaz Khan, Young-Jun Ko, Matthias W. Seeger |
| 2014 | Scalable Variational Bayesian Matrix Factorization with Side Information. Yong-Deok Kim, Seungjin Choi |
| 2014 | Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch. Partha Pratim Talukdar, William W. Cohen |
| 2014 | Scaling Nonparametric Bayesian Inference via Subsample-Annealing. Fritz Obermeyer, Jonathan Glidden, Eric Jonas |
| 2014 | Selective Sampling with Drift. Edward Moroshko, Koby Crammer |
| 2014 | Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process. Vikas C. Raykar, Priyanka Agrawal |
| 2014 | Sketching the Support of a Probability Measure. Joachim Giesen, Sören Laue, Lars Kuehne |
| 2014 | Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus. Vinny Davies, Richard E. Reeve, William T. Harvey, Francois F. Maree, Dirk Husmeier |
| 2014 | Sparsity and the truncated \(l^2\)-norm. Lee H. Dicker |
| 2014 | Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs. Jon Parker, Hans Engler |
| 2014 | Student-t Processes as Alternatives to Gaussian Processes. Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani |
| 2014 | The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling. Willie Neiswanger, Frank D. Wood, Eric P. Xing |
| 2014 | Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees. Jean Honorio, Tommi S. Jaakkola |
| 2014 | Tilted Variational Bayes. James Hensman, Max Zwiessele, Neil D. Lawrence |
| 2014 | To go deep or wide in learning? Gaurav Pandey, Ambedkar Dukkipati |
| 2014 | Towards building a Crowd-Sourced Sky Map. Dustin Lang, David W. Hogg, Bernhard Schölkopf |
| 2014 | Visual Boundary Prediction: A Deep Neural Prediction Network and Quality Dissection. Jyri J. Kivinen, Christopher K. I. Williams, Nicolas Heess |