AISTATS A

72 papers

YearTitle / Authors
2013A Competitive Test for Uniformity of Monotone Distributions.
Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh
2013A Last-Step Regression Algorithm for Non-Stationary Online Learning.
Edward Moroshko, Koby Crammer
2013A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions.
Prabhanjan Kambadur, Aurélie C. Lozano
2013A recursive estimate for the predictive likelihood in a topic model.
James Scott, Jason Baldridge
2013A simple criterion for controlling selection bias.
Eunice Yuh-Jie Chen, Judea Pearl
2013A simple sketching algorithm for entropy estimation over streaming data.
Peter Clifford, Ioana Cosma
2013A unifying representation for a class of dependent random measures.
Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson
2013Active Learning for Interactive Visualization.
Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani
2013Bayesian Structure Learning for Functional Neuroimaging.
Mijung Park, Oluwasanmi Koyejo, Joydeep Ghosh, Russell A. Poldrack, Jonathan W. Pillow
2013Bayesian learning of joint distributions of objects.
Anjishnu Banerjee, Jared Murray, David B. Dunson
2013Bethe Bounds and Approximating the Global Optimum.
Adrian Weller, Tony Jebara
2013Beyond Sentiment: The Manifold of Human Emotions.
Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
2013Block Regularized Lasso for Multivariate Multi-Response Linear Regression.
Weiguang Wang, Yingbin Liang, Eric P. Xing
2013Central Limit Theorems for Conditional Markov Chains.
Mathieu Sinn, Bei Chen
2013Changepoint Detection over Graphs with the Spectral Scan Statistic.
James Sharpnack, Aarti Singh, Alessandro Rinaldo
2013Clustered Support Vector Machines.
Quanquan Gu, Jiawei Han
2013Clustering Oligarchies.
Margareta Ackerman, Shai Ben-David, David Loker, Sivan Sabato
2013Collapsed Variational Bayesian Inference for Hidden Markov Models.
Pengyu Wang, Phil Blunsom
2013Competing with an Infinite Set of Models in Reinforcement Learning.
Phuong Nguyen, Odalric-Ambrym Maillard, Daniil Ryabko, Ronald Ortner
2013Completeness Results for Lifted Variable Elimination.
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2013Computing the M Most Probable Modes of a Graphical Model.
Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris N. Metaxas, Christoph H. Lampert
2013Consensus Ranking with Signed Permutations.
Raman Arora, Marina Meila
2013Convex Collective Matrix Factorization.
Guillaume Bouchard, Dawei Yin, Shengbo Guo
2013DYNACARE: Dynamic Cardiac Arrest Risk Estimation.
Joyce C. Ho, Yubin Park, Carlos Carvalho, Joydeep Ghosh
2013Data-driven covariate selection for nonparametric estimation of causal effects.
Doris Entner, Patrik O. Hoyer, Peter Spirtes
2013Deep Gaussian Processes.
Andreas C. Damianou, Neil D. Lawrence
2013Detecting Activations over Graphs using Spanning Tree Wavelet Bases.
James Sharpnack, Aarti Singh, Akshay Krishnamurthy
2013Diagonal Orthant Multinomial Probit Models.
James E. Johndrow, David B. Dunson, Kristian Lum
2013Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods.
Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III
2013Distributed and Adaptive Darting Monte Carlo through Regenerations.
Sungjin Ahn, Yutian Chen, Max Welling
2013Distribution-Free Distribution Regression.
Barnabás Póczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman
2013DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes.
Abner Guzmán-Rivera, Pushmeet Kohli, Dhruv Batra
2013Dual Decomposition for Joint Discrete-Continuous Optimization.
Christopher Zach
2013Dynamic Copula Networks for Modeling Real-valued Time Series.
Elad Eban, Gideon Rothschild, Adi Mizrahi, Israel Nelken, Gal Elidan
2013Dynamic Scaled Sampling for Deterministic Constraints.
Lei Li, Bharath Ramsundar, Stuart Russell
2013Efficient Variational Inference for Gaussian Process Regression Networks.
Trung V. Nguyen, Edwin V. Bonilla
2013Efficiently Sampling Probabilistic Programs via Program Analysis.
Arun Tejasvi Chaganty, Aditya V. Nori, Sriram K. Rajamani
2013Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling.
Jianzhu Ma, Jian Peng, Sheng Wang, Jinbo Xu
2013Evidence Estimation for Bayesian Partially Observed MRFs.
Yutian Chen, Max Welling
2013Exact Learning of Bounded Tree-width Bayesian Networks.
Janne H. Korhonen, Pekka Parviainen
2013Fast Near-GRID Gaussian Process Regression.
Yuancheng Luo, Ramani Duraiswami
2013Further Optimal Regret Bounds for Thompson Sampling.
Shipra Agrawal, Navin Goyal
2013Greedy Bilateral Sketch, Completion & Smoothing.
Tianyi Zhou, Dacheng Tao
2013High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers.
Zheng Pan, Changshui Zhang
2013Learning Markov Networks With Arithmetic Circuits.
Daniel Lowd, Amirmohammad Rooshenas
2013Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes.
Ke Zhou, Hongyuan Zha, Le Song
2013Learning to Top-K Search using Pairwise Comparisons.
Brian Eriksson
2013Localization and Adaptation in Online Learning.
Alexander Rakhlin, Ohad Shamir, Karthik Sridharan
2013Meta-Transportability of Causal Effects: A Formal Approach.
Elias Bareinboim, Judea Pearl
2013Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction.
Georg M. Goerg, Cosma Rohilla Shalizi
2013Nystrom Approximation for Large-Scale Determinantal Processes.
Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox, Ben Taskar
2013ODE parameter inference using adaptive gradient matching with Gaussian processes.
Frank Dondelinger, Dirk Husmeier, Simon Rogers, Maurizio Filippone
2013On the Asymptotic Optimality of Maximum Margin Bayesian Networks.
Sebastian Tschiatschek, Franz Pernkopf
2013Permutation estimation and minimax rates of identifiability.
Olivier Collier, Arnak S. Dalalyan
2013Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension.
Hamed Firouzi, Bala Rajaratnam, Alfred O. Hero III
2013Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2013, Scottsdale, AZ, USA, April 29 - May 1, 2013
2013Random Projections for Support Vector Machines.
Saurabh Paul, Christos Boutsidis, Malik Magdon-Ismail, Petros Drineas
2013Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes.
Andrej Aderhold, Dirk Husmeier, V. Anne Smith
2013Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers.
Jeffrey Ho, Guang Cheng, Hesamoddin Salehian, Baba C. Vemuri
2013Scoring anomalies: a M-estimation formulation.
Stéphan Clémençon, Jérémie Jakubowicz
2013Sparse Principal Component Analysis for High Dimensional Multivariate Time Series.
Zhaoran Wang, Fang Han, Han Liu
2013Statistical Tests for Contagion in Observational Social Network Studies.
Greg Ver Steeg, Aram Galstyan
2013Stochastic blockmodeling of relational event dynamics.
Christopher DuBois, Carter T. Butts, Padhraic Smyth
2013Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables.
Nevena Lazic, Christopher M. Bishop, John M. Winn
2013Structure Learning of Mixed Graphical Models.
Jason D. Lee, Trevor Hastie
2013Supervised Sequential Classification Under Budget Constraints.
Kirill Trapeznikov, Venkatesh Saligrama
2013Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions.
Heng Luo, Pierre Luc Carrier, Aaron C. Courville, Yoshua Bengio
2013Thompson Sampling in Switching Environments with Bayesian Online Change Detection.
Joseph Charles Mellor, Jonathan Shapiro
2013Ultrahigh Dimensional Feature Screening via RKHS Embeddings.
Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Guy Lebanon
2013Uncover Topic-Sensitive Information Diffusion Networks.
Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha
2013Unsupervised Link Selection in Networks.
Quanquan Gu, Charu C. Aggarwal, Jiawei Han
2013Why Steiner-tree type algorithms work for community detection.
Mung Chiang, Henry Lam, Zhenming Liu, H. Vincent Poor