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All publications at Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11)
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Two-Layer Multiple Kernel Learning
Jinfeng Zhuang, Ivor W. Tsang and Steven Hoi
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Dependent Hierarchical Beta Process for Image Interpolation and Denoising
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson and Lawrence Carin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
Xueyuan Zhou and Nathan Srebro
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou and Mikhail Belkin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Generalization Bound for Infinitely Divisible Empirical Process
Chao Zhang and Dacheng Tao
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang and Jeff G. Schneider
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables"
Jiji Zhang and Ricardo Silva
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


An Instantiation-Based Theorem Prover for First-Order Programming
Erik Zawadzki, Geoffrey J. Gordon and André Platzer
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems
Xiaotong Yuan and Shuicheng Yan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Efficient variable selection in support vector machines via the alternating direction method of multipliers
Gui-bo Ye, Yifei Chen and Xiaohui Xie
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The Sample Complexity of Self-Verifying Bayesian Active Learning
Liu Yang, Steve Hanneke and Jaime G. Carbonell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality
Shuang-hong Yang, Steven P. Crain and Hongyuan Zha
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Cross-Domain Object Matching with Model Selection
Makoto Yamada and Masashi Sugiyama
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Multicore Gibbs Sampling in Dense, Unstructured Graphs
Tianbing Xu and Alexander T. Ihler
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Hierarchical Probabilistic Models for Group Anomaly Detection
Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew Connolly and Jake Vanderplas
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Relational Learning with One Network: An Asymptotic Analysis
Rongjing Xiang and Jennifer Neville
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling"
Frank Wood
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlmüller and Noah D. Goodman
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Information Theoretical Clustering via Semidefinite Programming
Meihong Wang and Fei Sha
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John W. Paisley and David M. Blei
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Active Boosted Learning (ActBoost)
Kirill Trapeznikov, Venkatesh Saligrama and David A. Castañon
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables
Robert E. Tillman and Peter Spirtes
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon and Paul Kidwell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
Veselin Stoyanov, Alexander Ropson and Jason Eisner
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Machine Learning Markets
Amos J. Storkey
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low and Carlos Guestrin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew L. Maas and Christopher D. Manning
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening
Ning Situ, Xiaojing Yuan and George Zouridakis
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Asymptotic Theory for Linear-Chain Conditional Random Fields
Mathieu Sinn and Pascal Poupart
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell and Yee W. Teh
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Spectral Clustering on a Budget
Ohad Shamir and Naftali Tishby
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Matthias W. Seeger and Hannes Nickisch
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
Ankan Saha and Ambuj Tewari
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Suresh Venkatasubramanian and Hal Daume
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross, Geoffrey J. Gordon and Drew Bagnell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On NDCG Consistency of Listwise Ranking Methods
Pradeep D. Ravikumar, Ambuj Tewari and Eunho Yang
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On the Estimation of alpha-Divergences
Barnabás Póczos and Jeff G. Schneider
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Directional Statistics on Permutations
Sergey M. Plis, Stephen Mccracken, Terran Lane and Vince D. Calhoun
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Faithfulness in Chain Graphs: The Gaussian Case
Jose M. Peña
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen and Samuel Kaski
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John W. Paisley, Chong Wang and David M. Blei
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang and Masashi Sugiyama
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Dimensionality Reduction for Spectral Clustering
Donglin Niu, Jennifer G. Dy and Michael I. Jordan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati, Daniel A. Mcfarland and Christopher D. Manning
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Can matrix coherence be efficiently and accurately estimated?
Mehryar Mohri and Ameet Talwalkar
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization
H. B. Mcmahan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Contextual Bandit Algorithms with Supervised Learning Guarantees"
H. B. Mcmahan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Estimating beta-mixing coefficients
Daniel J. Mcdonald, Cosma R. Shalizi and Mark J. Schervish
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Online Learning of Structured Predictors with Multiple Kernels
André Martins, Noah A. Smith, Eric P. Xing, Pedro Aguiar and Mário Figueiredo
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Adaptive Bandits: Towards the best history-dependent strategy
Odalric-ambrym Maillard and Rémi Munos
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


CAKE: Convex Adaptive Kernel Density Estimation
Ravi Mahapatruni and Alexander G. Gray
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning mixtures of Gaussians with maximum-a-posteriori oracle
Satyaki Mahalanabis
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Hidden-Unit Conditional Random Fields
Laurens Maaten, Max Welling and Lawrence K. Saul
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Spectral Dimensionality Reduction via Maximum Entropy"
Laurens Maaten
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
Heng Luo, Ruimin Shen, Changyong Niu and Carsten Ullrich
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
Hongtao Lu, Xianzhong Long and Jingyuan Lv
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie C. Lozano, Grzegorz Swirszcz and Naoki Abe
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning Scale Free Networks by Reweighted L1 regularization
Qiang Liu and Alexander T. Ihler
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Bayesian Hierarchical Cross-Clustering
Dazhuo Li and Patrick Shafto
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
Bin Li, Steven Hoi, Peilin Zhao and Vivekanand Gopalkrishnan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Spectral Dimensionality Reduction via Maximum Entropy
Neil D. Lawrence
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The Neural Autoregressive Distribution Estimator
Hugo Larochelle and Iain Murray
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard and Cédric Archambeau
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Approximate inference for the loss-calibrated Bayesian
Simon Lacoste-julien, Ferenc Huszar and Zoubin Ghahramani
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On Time Varying Undirected Graphs
Mladen Kolar and Eric P. Xing
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Convex envelopes of complexity controlling penalties: the case against premature envelopment
Vladimir Jojic, Suchi Saria and Daphne Koller
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Convergent Decomposition Solvers for Tree-reweighted Free Energies
Jeremy Jancsary and Gerald Matz
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep D. Ravikumar, Vishvas Vasuki and Sujay Sanghavi
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain and John Shawe-taylor
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Fast b-matching via Sufficient Selection Belief Propagation
Bert C. Huang and Tony Jebara
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue A. Hong and Geoffrey J. Gordon
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
Qirong Ho, Le Song and Eric P. Xing
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur P. Parikh, Le Song and Eric P. Xing
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton and Carlos Guestrin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Deep Sparse Rectifier Neural Networks
Xavier Glorot, Antoine Bordes and Yoshua Bengio
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning from positive and unlabeled examples by enforcing statistical significance
Pierre Geurts
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
Rahul Garg and Rohit Khandekar
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Revisiting MAP Estimation, Message Passing and Perfect Graphs
James R. Foulds, Nicholas Navaroli, Padhraic Smyth and Alexander T. Ihler
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
James R. Foulds, Christopher Dubois, Arthur U. Asuncion, Carter T. Butts and Padhraic Smyth
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A novel greedy algorithm for Nystr{\"o}m approximation
Ahmed K. Farahat, Ali Ghodsi and Mohamed S. Kamel
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Brian Eriksson, Gautam Dasarathy, Aarti Singh and Robert D. Nowak
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Bagged Structure Learning of Bayesian Network
Gal Elidan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A conditional game for comparing approximations
Frederik Eaton
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Optimal and Robust Price Experimentation: Learning by Lottery
Christopher R. Dance and Onno Zoeter
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Spike and Slab Restricted Boltzmann Machine
Aaron C. Courville, James Bergstra and Yoshua Bengio
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "A conditional game for comparing approximations"
Vincent Conitzer
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Deep Learning for Efficient Discriminative Parsing
Ronan Collobert
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Adam Coates, Andrew Y. Ng and Honglak Lee
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Contextual Bandits with Linear Payoff Functions
Wei Chu, Lihong Li, Lev Reyzin and Robert E. Schapire
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
Edward Challis and David Barber
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Switch-Reset Models : Exact and Approximate Inference
Chris Bracegirdle and David Barber
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober and Jan R. Peters
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade and Dean P. Foster
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin and Robert E. Schapire
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Deep Learners Benefit More from Out-of-Distribution Examples
Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger-lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain P. Lebeuf, Razvan Pascanu, Salah Rifai, Françcois Savard and Guillaume Sicard
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "The Neural Autoregressive Distribution Estimator"
Yoshua Bengio
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach
Gowtham Bellala, Suresh K. Bhavnani and Clayton Scott
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
Dhruv Batra, Sebastian Nowozin and Pushmeet Kohli
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez and Guy Lebanon
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Statistical Optimization of Non-Negative Matrix Factorization
Anoop K. Balan, Levi Boyles, Max Welling, Jingu Kim and Haesun Park
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Dynamic Policy Programming with Function Approximation
Mohammad G. Azar, Vicençc Gómez and Bert Kappen
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Polytope samplers for inference in ill-posed inverse problems
Edoardo Airoldi and Bertrand Haas
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon H. Teo, Jacob Eisenstein, Eric P. Xing and Alex J. Smola
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li and Alex J. Smola
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Generative Kernels for Exponential Families
Arvind Agarwal and Hal Daume
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Learning Scale Free Networks by Reweighted L1 regularization"
Deepak Agarwal
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011