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Machine Learning

Authors and titles for recent submissions

[ total of 92 entries: 1-25 | 26-50 | 51-75 | 76-92 ]
[ showing 25 entries per page: fewer | more | all ]

Mon, 25 Sep 2017

[1]  arXiv:1709.07842 [pdf, other]
Title: Bayesian Optimization for Parameter Tuning of the XOR Neural Network
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI)
[2]  arXiv:1709.07796 [pdf, other]
Title: On overfitting and asymptotic bias in batch reinforcement learning with partial observability
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Learning (cs.LG)
[3]  arXiv:1709.07731 [pdf, ps, other]
Title: Estimate Exchange over Network is Good for Distributed Hard Thresholding Pursuit
Subjects: Machine Learning (stat.ML); Signal Processing (eess.SP)
[4]  arXiv:1709.07638 [pdf, other]
Title: Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
Subjects: Machine Learning (stat.ML); Learning (cs.LG)
[5]  arXiv:1709.07625 [pdf, ps, other]
Title: Total stability of kernel methods
Subjects: Machine Learning (stat.ML); Learning (cs.LG)
[6]  arXiv:1709.07871 (cross-list from cs.CV) [pdf, other]
Title: FiLM: Visual Reasoning with a General Conditioning Layer
Comments: Extends arXiv:1707.03017
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)
[7]  arXiv:1709.07848 (cross-list from quant-ph) [pdf, other]
Title: Generalized Quantum Reinforcement Learning with Quantum Technologies
Subjects: Quantum Physics (quant-ph); Mesoscale and Nanoscale Physics (cond-mat.mes-hall); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[8]  arXiv:1709.07808 (cross-list from quant-ph) [pdf, other]
Title: Quantum Memristors in Quantum Photonics
Subjects: Quantum Physics (quant-ph); Mesoscale and Nanoscale Physics (cond-mat.mes-hall); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[9]  arXiv:1709.07616 (cross-list from stat.ME) [pdf, other]
Title: Generalized Bayesian Updating and the Loss-Likelihood Bootstrap
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[10]  arXiv:1709.07534 (cross-list from cs.AI) [pdf, other]
Title: MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
Comments: Published in ECML-PKDD 2017 (Applied Data Science Track)
Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG); Machine Learning (stat.ML)
[11]  arXiv:1709.06919 (cross-list from cs.RO) [pdf, other]
Title: Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search
Comments: 8 pages, 4 figures, 1 algorithm; Video at this https URL
Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[12]  arXiv:1709.06917 (cross-list from cs.RO) [pdf, other]
Title: Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics
Comments: 8 pages, 4 figures, 2 algorithms, 1 table; Video at this https URL
Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

Fri, 22 Sep 2017 (showing first 13 of 18 entries)

[13]  arXiv:1709.07433 [pdf, other]
Title: Perturbative Black Box Variational Inference
Comments: Neural Information Processing Systems (NIPS 2017), to appear. Joint first authorship of first two mentioned authors
Subjects: Machine Learning (stat.ML); Learning (cs.LG)
[14]  arXiv:1709.07359 [pdf, other]
Title: Class-Splitting Generative Adversarial Networks
Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)
[15]  arXiv:1709.07267 [pdf, other]
Title: Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease
Journal-ref: Proc. Machine Learning in Medical Imaging MLMI 2017, MICCAI Worskhop, Lecture Notes in Computer Science, volume 10541, pp 53-60, Springer
Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Neurons and Cognition (q-bio.NC); Quantitative Methods (q-bio.QM)
[16]  arXiv:1709.07175 [pdf, other]
Title: Lazy stochastic principal component analysis
Comments: To be published in: 2017 IEEE International Conference on Data Mining Workshops (ICDMW)
Subjects: Machine Learning (stat.ML)
[17]  arXiv:1709.07100 [pdf, other]
Title: Supervised Learning with Indefinite Topological Kernels
Subjects: Machine Learning (stat.ML); Statistics Theory (math.ST)
[18]  arXiv:1709.07097 [pdf, other]
Title: Persistence Flamelets: multiscale Persistent Homology for kernel density exploration
Subjects: Machine Learning (stat.ML); Statistics Theory (math.ST)
[19]  arXiv:1709.07417 (cross-list from cs.AI) [pdf, other]
Title: Neural Optimizer Search with Reinforcement Learning
Comments: ICML 2017 Conference paper
Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG); Machine Learning (stat.ML)
[20]  arXiv:1709.07337 (cross-list from cs.CV) [pdf, other]
Title: Efficient Column Generation for Cell Detection and Segmentation
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)
[21]  arXiv:1709.07224 (cross-list from cs.MA) [pdf, other]
Title: Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning
Comments: 8 pages, 6 figures, version 1
Subjects: Multiagent Systems (cs.MA); Artificial Intelligence (cs.AI); Learning (cs.LG); Systems and Control (cs.SY); Machine Learning (stat.ML)
[22]  arXiv:1709.07172 (cross-list from cs.LG) [pdf, ps, other]
Title: SpectralFPL: Online Spectral Learning for Single Topic Models
Comments: 8 pages, 5 figures
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[23]  arXiv:1709.07150 (cross-list from cs.AI) [pdf, other]
Title: Feature Engineering for Predictive Modeling using Reinforcement Learning
Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG); Machine Learning (stat.ML)
[24]  arXiv:1709.07149 (cross-list from cs.LG) [pdf, ps, other]
Title: Learning RBM with a DC programming Approach
Comments: Accepted in ACML2017
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[25]  arXiv:1709.07124 (cross-list from cs.SD) [pdf, other]
Title: Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding
Comments: To be presented at WASPAA 2017
Subjects: Sound (cs.SD); Learning (cs.LG); Machine Learning (stat.ML)
[ total of 92 entries: 1-25 | 26-50 | 51-75 | 76-92 ]
[ showing 25 entries per page: fewer | more | all ]

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