cicyt UNIZAR

Machine Learning

Authors and titles for recent submissions

[ total of 173 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 151-173 ]
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Fri, 23 Feb 2018 (showing first 25 of 29 entries)

[1]  arXiv:1802.08246 [pdf, other]
Title: Characterizing Implicit Bias in Terms of Optimization Geometry
Subjects: Machine Learning (stat.ML); Learning (cs.LG)
[2]  arXiv:1802.08183 [pdf, other]
Title: Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Data Structures and Algorithms (cs.DS); Learning (cs.LG)
[3]  arXiv:1802.08167 [pdf, other]
Title: Learning Causally-Generated Stationary Time Series
Comments: 13 pages, 7 figures, 2 tables, includes appendices
Subjects: Machine Learning (stat.ML)
[4]  arXiv:1802.08163 [pdf, other]
Title: An Analysis of Categorical Distributional Reinforcement Learning
Subjects: Machine Learning (stat.ML)
[5]  arXiv:1802.08139 [pdf, other]
Title: Path-Specific Counterfactual Fairness
Subjects: Machine Learning (stat.ML)
[6]  arXiv:1802.08012 [pdf, other]
Title: Learning Topic Models by Neighborhood Aggregation
Authors: Ryohei Hisano
Subjects: Machine Learning (stat.ML); Learning (cs.LG)
[7]  arXiv:1802.07954 [pdf, other]
Title: The State of the Art in Integrating Machine Learning into Visual Analytics
Journal-ref: Computer Graphics Forum, Wiley, 2017, 36 (8), pp.458 - 486. \&\#x3008;10.1111/cgf.13092\&\#x3009
Subjects: Machine Learning (stat.ML); Human-Computer Interaction (cs.HC); Learning (cs.LG)
[8]  arXiv:1802.07928 [pdf, other]
Title: Asynchronous Byzantine Machine Learning
Subjects: Machine Learning (stat.ML); Distributed, Parallel, and Cluster Computing (cs.DC); Learning (cs.LG)
[9]  arXiv:1802.07927 [pdf, other]
Title: The Hidden Vulnerability of Distributed Learning in Byzantium
Subjects: Machine Learning (stat.ML); Distributed, Parallel, and Cluster Computing (cs.DC); Learning (cs.LG)
[10]  arXiv:1802.07756 [pdf]
Title: Determining the best classifier for predicting the value of a boolean field on a blood donor database
Authors: Ritabrata Maiti
Subjects: Machine Learning (stat.ML); Learning (cs.LG)
[11]  arXiv:1802.08242 (cross-list from stat.ME) [pdf, other]
Title: Structured low-rank matrix completion for forecasting in time series analysis
Comments: 25 pages, 12 figures
Subjects: Methodology (stat.ME); Systems and Control (cs.SY); Numerical Analysis (math.NA); Machine Learning (stat.ML)
[12]  arXiv:1802.08241 (cross-list from cs.CV) [pdf, other]
Title: Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
Comments: 24 pages, 13 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Machine Learning (stat.ML)
[13]  arXiv:1802.08235 (cross-list from cs.LG) [pdf, other]
Title: Vector Field Based Neural Networks
Comments: 6 pages, 5 figures. To appear in the Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[14]  arXiv:1802.08195 (cross-list from cs.LG) [pdf, other]
Title: Adversarial Examples that Fool both Human and Computer Vision
Subjects: Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Neurons and Cognition (q-bio.NC); Machine Learning (stat.ML)
[15]  arXiv:1802.08089 (cross-list from math.OC) [pdf, ps, other]
Title: Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
Authors: Andre Wibisono
Comments: 44 pages
Subjects: Optimization and Control (math.OC); Information Theory (cs.IT); Learning (cs.LG); Machine Learning (stat.ML)
[16]  arXiv:1802.08061 (cross-list from econ.EM) [pdf, ps, other]
Title: Algorithmic Collusion in Cournot Duopoly Market: Evidence from Experimental Economics
Comments: 22 pages, 7 figures; algorithmic collusion; Cournot duopoly model; experimental economics; game theory; collusion algorithm design; iterated prisoner's dilemma; antitrust; mechanism design
Subjects: Econometrics (econ.EM); Computer Science and Game Theory (cs.GT); Applications (stat.AP); Machine Learning (stat.ML)
[17]  arXiv:1802.08021 (cross-list from cs.DC) [pdf, other]
Title: SparCML: High-Performance Sparse Communication for Machine Learning
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)
[18]  arXiv:1802.08013 (cross-list from cs.AI) [pdf, other]
Title: Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks
Comments: Preprint submitted to Neural Networks
Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG); Robotics (cs.RO); Machine Learning (stat.ML)
[19]  arXiv:1802.08009 (cross-list from cs.LG) [pdf, ps, other]
Title: Iterate averaging as regularization for stochastic gradient descent
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[20]  arXiv:1802.07971 (cross-list from cs.LG) [pdf, other]
Title: Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise
Journal-ref: 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018, Apr 2018, Playa Blanca, Spain. 2018, \&\#x3008;http://www.aistats.org/\&\#x3009
Subjects: Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)
[21]  arXiv:1802.07935 (cross-list from math.OC) [pdf, ps, other]
Title: Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning
Subjects: Optimization and Control (math.OC); Dynamical Systems (math.DS); Machine Learning (stat.ML)
[22]  arXiv:1802.07917 (cross-list from cs.LG) [pdf, ps, other]
Title: Regional Multi-Armed Bandits
Comments: AISTATS 2018
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[23]  arXiv:1802.07889 (cross-list from cs.LG) [pdf, ps, other]
Title: Entropy Rate Estimation for Markov Chains with Large State Space
Subjects: Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)
[24]  arXiv:1802.07877 (cross-list from cs.LG) [pdf, other]
Title: Pooling homogeneous ensembles to build heterogeneous ensembles
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[25]  arXiv:1802.07834 (cross-list from q-bio.PE) [pdf, other]
Title: Learning to Gather without Communication
Comments: Preliminary version, presented at the 5th Biological Distributed Algorithms Workshop. Washington D.C, July 28th, 2017
Subjects: Populations and Evolution (q-bio.PE); Distributed, Parallel, and Cluster Computing (cs.DC); Learning (cs.LG); Multiagent Systems (cs.MA); Machine Learning (stat.ML)
[ total of 173 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 151-173 ]
[ showing 25 entries per page: fewer | more | all ]

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