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TITLE
DATE
VIEWS
Statistical estimation for optimization problems on graphs
By Mikhail Langovoy, Suvrit Sra · ArXiv: 1311.7656
2013-12-02
0
Shape from Texture using Locally Scaled Point Processes
By Eva-Maria Didden, Thordis Linda Thorarinsdottir, Alex Lenkoski · ArXiv: 1311.7401
2013-12-02
0
Cross-Domain Sparse Coding
By Jim Jing-Yan Wang · ArXiv: 1311.7080
2013-11-28
0
Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis
By Angela Fern, ez, Neta Rabin · ArXiv: 1311.6594
2014-05-21
0
On Approximate Inference for Generalized Gaussian Process Models
By Lifeng Shang, Antoni B. Chan · ArXiv: 1311.6371
2013-11-28
0
Learning Reputation in an Authorship Network
By Charanpal Dhanjal (LTCI), Stephan Clemenc{c}on (LTCI) · ArXiv: 1311.6334
2013-11-26
0
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization
By Guosheng Lin, Chunhua Shen, Anton van den Hengel · ArXiv: 1311.5947
2013-11-26
0
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization
By Xiao-Tong Yuan, Ping Li, Tong Zhang · ArXiv: 1311.5750
2013-11-26
0
Tracing the origin of a scientific legend by Reference Publication Year Spectroscopy (RPYS): the legend of the Darwin finches
By ** *제공된 정보에 저자 명단이 포함되어 있지 않습니다.* ** · ArXiv: 1311.5665
2013-11-25
0
Bayesian Discovery of Threat Networks
By Steven T. Smith, Edward K. Kao, Kenneth D. Senne · ArXiv: 1311.5552
2014-09-09
0
Asymptotically Exact, Embarrassingly Parallel MCMC
By Willie Neiswanger, Chong Wang, Eric Xing · ArXiv: 1311.4780
2014-03-24
0
How to improve the prediction based on citation impact percentiles for years shortly after the publication date?
By Lutz Bornmann, Loet Leydesdorff, Jian Wang · ArXiv: 1311.4731
2013-11-20
0
Estimating Functions of Distributions Defined over Spaces of Unknown Size
By David H. Wolpert, Simon DeDeo · ArXiv: 1311.4548
2013-11-20
0
Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems
By Jan-Peter Calliess, Antonis Papachristodoulou, Stephen J. Roberts · ArXiv: 1311.4468
2014-04-02
0
Smoothed Analysis of Tensor Decompositions
By Aditya Bhaskara, Moses Charikar, Ankur Moitra · ArXiv: 1311.3651
2014-01-21
0
Anytime Belief Propagation Using Sparse Domains
By Sameer Singh, Sebastian Riedel, Andrew McCallum · ArXiv: 1311.3368
2013-11-15
0
Learning Mixtures of Discrete Product Distributions using Spectral Decompositions
By Prateek Jain, Sewoong Oh · ArXiv: 1311.2972
2014-05-20
0
Reinforcement Learning for Matrix Computations: PageRank as an Example
By Vivek S. Borkar, Adwaitvedant S. Mathkar · ArXiv: 1311.2889
2013-11-13
0
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements
By Sh, ian Zhe, Yuan Qi · ArXiv: 1311.2663
2014-02-04
0
Random perturbation of low rank matrices: Improving classical bounds
By Sean ORourke, Van Vu, Ke Wang · ArXiv: 1311.2657
2023-01-03
0
Exact Solutions in Structured Low-Rank Approximation
By Giorgio Ottaviani, Pierre-Jean Spaenlehauer, Bernd Sturmfels · ArXiv: 1311.2376
2017-02-23
0
Nonparametric Multi-group Membership Model for Dynamic Networks
By Myunghwan Kim, Jure Leskovec · ArXiv: 1311.2079
2013-11-12
0
D$^3$PO - Denoising, Deconvolving, and Decomposing Photon Observations
By Marco Selig, Torsten En{ss}lin · ArXiv: 1311.1888
2015-01-30
0
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
By Edoardo M Airoldi, Thiago B Costa, Stanley H Chan · ArXiv: 1311.1731
2013-11-14
0
Audio Texture Synthesis with Scattering Moments
By Joan Bruna, Stephane Mallat · ArXiv: 1311.0407
2013-11-05
0
On the Bootstrap for Persistence Diagrams and Landscapes
By Frederic Chazal, Brittany Terese Fasy, Fabrizio Lecci · ArXiv: 1311.0376
2014-01-23
0
Robust Compressed Sensing and Sparse Coding with the Difference Map
By Will L, ecker, Rick Chartr · ArXiv: 1311.0053
2013-11-25
0
Hypothesis Testing for Topological Data Analysis
By Andrew Robinson, Katharine Turner · ArXiv: 1310.7467
2016-02-23
0
Generalized Thompson Sampling for Contextual Bandits
By Lihong Li · ArXiv: 1310.7163
2013-10-29
0
Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching a Multivariate Data Analysis Course with No Pre-requisites
By Amy S. Wagaman · ArXiv: 1310.7141
2013-10-29
0
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