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TITLE
DATE
VIEWS
High-dimensional structure estimation in Ising models: Local separation criterion
By Animashree An, kumar, Vincent Y. F. Tan · ArXiv: 1107.1736
2012-08-21
0
Distinct counting with a self-learning bitmap
By Aiyou Chen, Jin Cao, Larry Shepp · ArXiv: 1107.1697
2015-03-19
2
Approximate Propagation of both Epistemic and Aleatory Uncertainty through Dynamic Systems
By Gabriel Terejanu, Puneet Singla, Tarunraj Singh · ArXiv: 1107.1548
2011-07-11
0
Approximate Interval Method for Epistemic Uncertainty Propagation using Polynomial Chaos and Evidence Theory
By Gabriel Terejanu, Puneet Singla, Tarunraj Singh · ArXiv: 1107.1547
2011-07-11
0
Decision Based Uncertainty Propagation Using Adaptive Gaussian Mixtures
By Gabriel Terejanu, Puneet Singla, Tarunraj Singh · ArXiv: 1107.1546
2015-03-19
0
Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole Pride 26 Data
By Gabriel Terejanu, Yang Cheng, Tarunraj Singh · ArXiv: 1107.1545
2011-07-11
0
Bayesian experimental design for the active nitridation of graphite by atomic nitrogen
By Gabriel Terejanu, Rochan R. Upadhyay, Kenji Miki · ArXiv: 1107.1445
2011-07-08
0
Distances and Riemannian metrics for multivariate spectral densities
By Xianhua Jiang, Lipeng Ning, Tryphon T. Georgiou · ArXiv: 1107.1345
2016-11-18
0
Spectral Methods for Learning Multivariate Latent Tree Structure
By Animashree An, kumar, Kamalika Chaudhuri · ArXiv: 1107.1283
2011-11-09
0
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
By Animashree An, kumar, Vincent Y. F. Tan · ArXiv: 1107.1270
2012-03-06
0
Characteristic Characteristics
By Sean Brocklebank, Scott Pauls, Daniel Rockmore · ArXiv: 1107.1229
2011-07-07
0
Application of Predictive Model Selection to Coupled Models
By Gabriel Terejanu, Todd Oliver, Chris Simmons · ArXiv: 1107.0927
2011-07-06
0
Distributed Matrix Completion and Robust Factorization
By Lester Mackey, Ameet Talwalkar, Michael I. Jordan · ArXiv: 1107.0789
2013-10-29
0
A Variational Bayes Approach to Decoding in a Phase-Uncertain Digital Receiver
By Arijit Das, Anthony Quinn · ArXiv: 1107.0662
2015-03-13
0
A random walk on image patches
By Kye M. Taylor, Francois G. Meyer · ArXiv: 1107.0414
2011-07-05
0
Revealing Sub-Optimality Conditions of Strategic Decisions
By H. Kemal Ilter · ArXiv: 1107.0202
2011-07-04
23
KARMA: Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking
By Daryush D. Mehta, Daniel Rudoy, Patrick J. Wolfe · ArXiv: 1107.0076
2012-10-15
0
Considerate Approaches to Achieving Sufficiency for ABC model selection
By Chris Barnes, Sarah Filippi, Michael P.H. Stumpf · ArXiv: 1106.6281
2011-07-04
0
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
By Sarah Filippi, Chris Barnes, Julien Cornebise · ArXiv: 1106.6280
2012-10-16
1
Kernels for Vector-Valued Functions: a Review
By Mauricio A. Alvarez, Lorenzo Rosasco, Neil D. Lawrence · ArXiv: 1106.6251
2012-04-17
0
Deterministic Sequencing of Exploration and Exploitation for Multi-Armed Bandit Problems
By Sattar Vakili, Keqin Liu, Qing Zhao · ArXiv: 1106.6104
2013-03-12
0
The Rate of Convergence of AdaBoost
By Indraneel Mukherjee, Cynthia Rudin, Robert E. Schapire · ArXiv: 1106.6024
2011-06-30
1
Distributional Results for Thresholding Estimators in High-Dimensional Gaussian Regression Models
By Benedikt M. P"otscher, Ulrike Schneider · ArXiv: 1106.6002
2012-01-04
0
Split Hamiltonian Monte Carlo
By Babak Shahbaba, Shiwei Lan, Wesley O. Johnson · ArXiv: 1106.5941
2012-07-17
0
Markov Chain Monte Carlo Based on Deterministic Transformations
By Somak Dutta, Sourabh Bhattacharya · ArXiv: 1106.5850
2013-10-21
1
A Dirty Model for Multiple Sparse Regression
By Ali Jalali, Pradeep Ravikumar, Sujay Sanghavi · ArXiv: 1106.5826
2012-02-28
0
Some notes on biasedness and unbiasedness of two-sample Kolmogorov-Smirnov test
By Peter Bubeliny · ArXiv: 1106.5598
2011-06-29
1
Revealing spatial variability structures of geostatistical functional data via Dynamic Clustering
By Elvira Romano, Antonio Balzanella, Rosanna Verde · ArXiv: 1106.5348
2011-06-28
0
A General Framework for Structured Sparsity via Proximal Optimization
By Andreas Argyriou, Luca Baldassarre, Jean Morales · ArXiv: 1106.5236
2011-06-28
1
Sparse Inverse Covariance Estimation via an Adaptive Gradient-Based Method
By Suvrit Sra, Dongmin Kim · ArXiv: 1106.5175
2011-06-28
0
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