AISTATS A

159 papers

YearTitle / Authors
2012A Bayesian Analysis of the Radioactive Releases of Fukushima.
Ryota Tomioka, Morten Mørup
2012A Composite Likelihood View for Multi-Label Classification.
Yi Zhang, Jeff G. Schneider
2012A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification.
Arun Rajkumar, Shivani Agarwal
2012A Family of MCMC Methods on Implicitly Defined Manifolds.
Marcus A. Brubaker, Mathieu Salzmann, Raquel Urtasun
2012A General Framework for Structured Sparsity via Proximal Optimization.
Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil
2012A Hybrid Neural Network-Latent Topic Model.
Li Wan, Leo Zhu, Rob Fergus
2012A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views.
Donglin Niu, Jennifer G. Dy, Zoubin Ghahramani
2012A Simple Geometric Interpretation of SVM using Stochastic Adversaries.
Roi Livni, Koby Crammer, Amir Globerson
2012A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models.
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M. Marlin, Kevin P. Murphy
2012A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping.
Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee, Jinbo Xu
2012A Variance Minimization Criterion to Active Learning on Graphs.
Ming Ji, Jiawei Han
2012A metric learning perspective of SVM: on the relation of LMNN and SVM.
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica
2012Active Learning from Multiple Knowledge Sources.
Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy
2012Adaptive MCMC with Bayesian Optimization.
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando de Freitas
2012Adaptive Metropolis with Online Relabeling.
Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl
2012Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks.
Avneesh Singh Saluja, Priya Krishnan Sundararajan, Ole J. Mengshoel
2012An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling.
Zhihua Zhang, Dakan Wang, Edward Y. Chang
2012Approximate Inference by Intersecting Semidefinite Bound and Local Polytope.
Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu
2012Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation.
J. Zico Kolter, Tommi S. Jaakkola
2012Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit.
Alexandra Carpentier, Rémi Munos
2012Bayesian Classifier Combination.
Hyun-Chul Kim, Zoubin Ghahramani
2012Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets.
Alexandre Lacoste, François Laviolette, Mario Marchand
2012Bayesian Group Factor Analysis.
Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski
2012Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach.
Florian Stimberg, Andreas Ruttor, Manfred Opper
2012Bayesian Quadrature for Ratios.
Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson
2012Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters.
Marco Grzegorczyk, Dirk Husmeier
2012Beta-Negative Binomial Process and Poisson Factor Analysis.
Mingyuan Zhou, Lauren Hannah, David B. Dunson, Lawrence Carin
2012Beyond Logarithmic Bounds in Online Learning.
Francesco Orabona, Nicolò Cesa-Bianchi, Claudio Gentile
2012Causality with Gates.
John M. Winn
2012Classifier Cascade for Minimizing Feature Evaluation Cost.
Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem
2012Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models.
Jörg Lücke, Marc Henniges
2012Complexity of Bethe Approximation.
Jinwoo Shin
2012Consistency and Rates for Clustering with DBSCAN.
Bharath K. Sriperumbudur, Ingo Steinwart
2012Constrained 1-Spectral Clustering.
Syama Sundar Rangapuram, Matthias Hein
2012Contextual Bandit Learning with Predictable Rewards.
Alekh Agarwal, Miroslav Dudík, Satyen Kale, John Langford, Robert E. Schapire
2012Controlling Selection Bias in Causal Inference.
Elias Bareinboim, Judea Pearl
2012Copula Network Classifiers (CNCs).
Gal Elidan
2012CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels.
Wei Bian, Bo Xie, Dacheng Tao
2012Data dependent kernels in nearly-linear time.
Guy Lever, Tom Diethe, John Shawe-Taylor
2012Deep Boltzmann Machines as Feed-Forward Hierarchies.
Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller
2012Deep Learning Made Easier by Linear Transformations in Perceptrons.
Tapani Raiko, Harri Valpola, Yann LeCun
2012Detecting Network Cliques with Radon Basis Pursuit.
Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas
2012Deterministic Annealing for Semi-Supervised Structured Output Learning.
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam
2012Discriminative Mixtures of Sparse Latent Fields for Risk Management.
Felix V. Agakov, Peter Orchard, Amos J. Storkey
2012Domain Adaptation: A Small Sample Statistical Approach.
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Foster
2012Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers.
Caoxie Zhang, Honglak Lee, Kang G. Shin
2012Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling.
Jaakko Luttinen, Alexander Ilin
2012Efficient Hypergraph Clustering.
Marius Leordeanu, Cristian Sminchisescu
2012Efficient Sampling from Combinatorial Space via Bridging.
Dahua Lin, John W. Fisher III
2012Efficient and Exact MAP-MRF Inference using Branch and Bound.
Min Sun, Murali Telaprolu, Honglak Lee, Silvio Savarese
2012Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space.
Robert J. Durrant, Ata Kabán
2012Evaluation of marginal likelihoods via the density of states.
Michael Habeck
2012Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation.
Guangcan Liu, Huan Xu, Shuicheng Yan
2012Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior.
Fares Hedayati, Peter L. Bartlett
2012Exploiting Unrelated Tasks in Multi-Task Learning.
Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil
2012Factorized Asymptotic Bayesian Inference for Mixture Modeling.
Ryohei Fujimaki, Satoshi Morinaga
2012Factorized Diffusion Map Approximation.
Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht
2012Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness.
Taiji Suzuki, Masashi Sugiyama
2012Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models.
Matthias W. Seeger, Guillaume Bouchard
2012Fast Variational Mode-Seeking.
Bo Thiesson, Jingu Kim
2012Fast interior-point inference in high-dimensional sparse, penalized state-space models.
Eftychios A. Pnevmatikakis, Liam Paninski
2012Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression.
Bryan R. Conroy, Paul Sajda
2012Flexible Martingale Priors for Deep Hierarchies.
Jacob Steinhardt, Zoubin Ghahramani
2012Forward Basis Selection for Sparse Approximation over Dictionary.
Xiaotong Yuan, Shuicheng Yan
2012Gaussian Processes for time-marked time-series data.
John P. Cunningham, Zoubin Ghahramani, Carl Edward Rasmussen
2012Generalized Optimal Reverse Prediction.
Martha White, Dale Schuurmans
2012Generic Methods for Optimization-Based Modeling.
Justin Domke
2012Globally Optimizing Graph Partitioning Problems Using Message Passing.
Elad Mezuman, Yair Weiss
2012Graphlet decomposition of a weighted network.
Hossein Azari Soufiani, Edoardo M. Airoldi
2012Hierarchical Latent Dictionaries for Models of Brain Activation.
Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell
2012Hierarchical Relative Entropy Policy Search.
Christian Daniel, Gerhard Neumann, Jan Peters
2012High-Dimensional Structured Feature Screening Using Binary Markov Random Fields.
Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
2012High-Rank Matrix Completion.
Brian Eriksson, Laura Balzano, Robert D. Nowak
2012High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods.
Christopher C. Johnson, Ali Jalali, Pradeep Ravikumar
2012History-alignment models for bias-aware prediction of virological response to HIV combination therapy.
Jasmina Bogojeska, Daniel Stöckel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-Zvi, Thomas Lengauer
2012Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression.
Simo Särkkä, Jouni Hartikainen
2012Information Theoretic Model Validation for Spectral Clustering.
Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann
2012Informative Priors for Markov Blanket Discovery.
Adam Craig Pocock, Mikel Luján, Gavin Brown
2012Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization.
Kyung-Ah Sohn, Seyoung Kim
2012Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing.
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio
2012Kernel Topic Models.
Philipp Hennig, David H. Stern, Ralf Herbrich, Thore Graepel
2012Krylov Subspace Descent for Deep Learning.
Oriol Vinyals, Daniel Povey
2012Learning Fourier Sparse Set Functions.
Peter Stobbe, Andreas Krause
2012Learning Low-order Models for Enforcing High-order Statistics.
Patrick Pletscher, Pushmeet Kohli
2012Learning from Weak Teachers.
Ruth Urner, Shai Ben-David, Ohad Shamir
2012Lifted Linear Programming.
Martin Mladenov, Babak Ahmadi, Kristian Kersting
2012Lifted Variable Elimination with Arbitrary Constraints.
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
2012Lifted coordinate descent for learning with trace-norm regularization.
Miroslav Dudík, Zaïd Harchaoui, Jérôme Malick
2012Lightning-speed Structure Learning of Nonlinear Continuous Networks.
Gal Elidan
2012Local Anomaly Detection.
Venkatesh Saligrama, Manqi Zhao
2012Locality Preserving Feature Learning.
Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han
2012Low rank continuous-space graphical models.
Carl Smith, Frank D. Wood, Liam Paninski
2012Marginal Regression For Multitask Learning.
Mladen Kolar, Han Liu
2012Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data.
Martin Schiegg, Marion Neumann, Kristian Kersting
2012Max-Margin Min-Entropy Models.
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller
2012Maximum Margin Temporal Clustering.
Minh Hoai Nguyen, Fernando De la Torre
2012Memory-efficient inference in dynamic graphical models using multiple cores.
Galen Andrew, Jeff A. Bilmes
2012Message-Passing Algorithms for MAP Estimation Using DC Programming.
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
2012Minimax Rates of Estimation for Sparse PCA in High Dimensions.
Vincent Q. Vu, Jing Lei
2012Minimax hypothesis testing for curve registration.
Olivier Collier
2012Minimax rates for homology inference.
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman
2012Movement Segmentation and Recognition for Imitation Learning.
Franziska Meier, Evangelos A. Theodorou, Stefan Schaal
2012Multi-armed Bandit Problems with History.
Pannagadatta K. Shivaswamy, Thorsten Joachims
2012Multi-label Subspace Ensemble.
Tianyi Zhou, Dacheng Tao
2012Multiple Texture Boltzmann Machines.
Jyri J. Kivinen, Christopher K. I. Williams
2012Multiresolution Deep Belief Networks.
Yichuan Tang, Abdel-rahman Mohamed
2012No Internal Regret via Neighborhood Watch.
Dean P. Foster, Alexander Rakhlin
2012Nonlinear low-dimensional regression using auxiliary coordinates.
Weiran Wang, Miguel Á. Carreira-Perpiñán
2012Nonparametric Estimation of Conditional Information and Divergences.
Barnabás Póczos, Jeff G. Schneider
2012On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems.
Yuri Grinberg, Doina Precup
2012On Bayesian Upper Confidence Bounds for Bandit Problems.
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
2012On Bisubmodular Maximization.
Ajit P. Singh, Andrew Guillory, Jeff A. Bilmes
2012On Estimation and Selection for Topic Models.
Matt Taddy
2012On Nonparametric Guidance for Learning Autoencoder Representations.
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
2012On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models.
David Buchman, Mark Schmidt, Shakir Mohamed, David Poole, Nando de Freitas
2012On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap.
Alexander Paprotny, Jochen Garcke
2012Online Clustering of Processes.
Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
2012Online Clustering with Experts.
Anna Choromanska, Claire Monteleoni
2012Online Incremental Feature Learning with Denoising Autoencoders.
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
2012Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits.
Yasin Abbasi-Yadkori, Dávid Pál, Csaba Szepesvári
2012Optimistic planning for Markov decision processes.
Lucian Busoniu, Rémi Munos
2012Part & Clamp: Efficient Structured Output Learning.
Patrick Pletscher, Cheng Soon Ong
2012Perturbation based Large Margin Approach for Ranking.
Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
2012Preface.
Neil D. Lawrence, Mark A. Girolami
2012Primal-Dual methods for sparse constrained matrix completion.
Yu Xin, Tommi S. Jaakkola
2012Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis.
Zhijian Ou, Yang Zhang
2012Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, Spain, April 21-23, 2012
Neil D. Lawrence, Mark A. Girolami
2012Protocols for Learning Classifiers on Distributed Data.
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs.
Hyokun Yun, S. V. N. Vishwanathan
2012Random Feature Maps for Dot Product Kernels.
Purushottam Kar, Harish Karnick
2012Randomized Optimum Models for Structured Prediction.
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zemel
2012Regression for sets of polynomial equations.
Franz J. Király, Paul von Bünau, Jan Saputra Müller, Duncan A. J. Blythe, Frank C. Meinecke, Klaus-Robert Müller
2012Regularization Paths with Guarantees for Convex Semidefinite Optimization.
Joachim Giesen, Martin Jaggi, Sören Laue
2012Robust Multi-task Regression with Grossly Corrupted Observations.
Huan Xu, Chenlei Leng
2012Sample Complexity of Composite Likelihood.
Joseph K. Bradley, Carlos Guestrin
2012Scalable Inference on Kingman's Coalescent using Pair Similarity .
Dilan Görür, Levi Boyles, Max Welling
2012Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection.
Guha Balakrishnan, Zeeshan Syed
2012Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach.
Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen
2012Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields.
Antonino Freno
2012Sparse Additive Machine.
Tuo Zhao, Han Liu
2012Sparse Higher-Order Principal Components Analysis.
Genevera I. Allen
2012Sparsistency of the Edge Lasso over Graphs.
James Sharpnack, Aarti Singh, Alessandro Rinaldo
2012SpeedBoost: Anytime Prediction with Uniform Near-Optimality.
Alexander Grubb, Drew Bagnell
2012Statistical Optimization in High Dimensions.
Huan Xu, Constantine Caramanis, Shie Mannor
2012Statistical test for consistent estimation of causal effects in linear non-Gaussian models.
Doris Entner, Patrik O. Hoyer, Peter Spirtes
2012Stick-Breaking Beta Processes and the Poisson Process.
John W. Paisley, David M. Blei, Michael I. Jordan
2012Stochastic Bandit Based on Empirical Moments.
Junya Honda, Akimichi Takemura
2012Structured Output Learning with High Order Loss Functions.
Daniel Tarlow, Richard S. Zemel
2012Structured Sparse Canonical Correlation Analysis.
Xi Chen, Han Liu, Jaime G. Carbonell
2012Subset Infinite Relational Models.
Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada
2012Testing for Membership to the IFRA and the NBU Classes of Distributions.
Radhendushka Srivastava, Ping Li, Debasis Sengupta
2012The adversarial stochastic shortest path problem with unknown transition probabilities.
Gergely Neu, András György, Csaba Szepesvári
2012There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems.
Ofer Dekel, Ohad Shamir
2012Transductive Learning of Structural SVMs via Prior Knowledge Constraints.
Chun-Nam Yu
2012UPAL: Unbiased Pool Based Active Learning.
Ravi Ganti, Alexander G. Gray
2012Universal Measurement Bounds for Structured Sparse Signal Recovery.
Nikhil Rao, Ben Recht, Robert D. Nowak
2012Using More Data to Speed-up Training Time.
Shai Shalev-Shwartz, Ohad Shamir, Eran Tromer
2012Variable Selection for Gaussian Graphical Models.
Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo A. Cecchi
2012Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration.
Arnak S. Dalalyan, Olivier Collier