-
1
-
-
84955454925
-
Distribution-free distribution regression
-
B. Poczos, A. Rinaldo, A. Singh, and L. Wasserman. Distribution-free distribution regression. In International Conference on AI and Statistics (AISTATS), JMLR Workshop and Conference Proceedings, 2013. pages 1
-
(2013)
International Conference on AI and Statistics (AISTATS), JMLR Workshop and Conference Proceedings
, pp. 1
-
-
Poczos, B.1
Rinaldo, A.2
Singh, A.3
Wasserman, L.4
-
2
-
-
84960809979
-
Exploration and evaluation of Ar, Mpca and Kl anomaly detection techniques to embankment dam piezometer data
-
I. Jung, M. Berges, J. Garrett, and B. Poczos. Exploration and evaluation of ar, mpca and kl anomaly detection techniques to embankment dam piezometer data. Advanced Engineering Informatics, 2015. pages 1
-
(2015)
Advanced Engineering Informatics
, pp. 1
-
-
Jung, I.1
Berges, M.2
Garrett, J.3
Poczos, B.4
-
3
-
-
84994517596
-
Dynamical mass measurements of contaminated galaxy clusters using Machine learning
-
M. Ntampaka, H. Trac, D. Sutherland, S. Fromenteau, B. Poczos, and J. Schneider. Dynamical mass measurements of contaminated galaxy clusters using machine learning. The Astrophysical Journal, 2016. URL http://arxiv.org/abs/1509.05409. pages 1
-
(2016)
The Astrophysical Journal
, pp. 1
-
-
Ntampaka, M.1
Trac, H.2
Sutherland, D.3
Fromenteau, S.4
Poczos, B.5
Schneider, J.6
-
4
-
-
84998842231
-
Estimating cosmological parameters from the dark matter distribution
-
M. Ravanbakhsh, J. Oliva, S. Fromenteau, L. Price, S. Ho, J. Schneider, and B. Poczos. Estimating cosmological parameters from the dark matter distribution. In International Conference on Machine Learning (ICML), 2016. pages 1
-
(2016)
International Conference on Machine Learning (ICML)
, pp. 1
-
-
Ravanbakhsh, M.1
Oliva, J.2
Fromenteau, S.3
Price, L.4
Ho, S.5
Schneider, J.6
Poczos, B.7
-
8
-
-
84877782369
-
Learning from distributions via support measure Machines
-
3
-
K. Muandet, K. Fukumizu, F. Dinuzzo, and B. Schoelkopf. Learning from distributions via support measure machines. In In Proceeding of the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 2012. pages 1, 3
-
(2012)
Proceeding of the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
, pp. 1
-
-
Muandet, K.1
Fukumizu, K.2
Dinuzzo, F.3
Schoelkopf, B.4
-
10
-
-
84954343604
-
-
4
-
B. Poczos, L. Xiong, D. Sutherland, and J. Schneider. Support distribution machines, 2012. URL http://arxiv.org/abs/1202.0302. pages 3, 4
-
(2012)
Support Distribution Machines
, pp. 3
-
-
Poczos, B.1
Xiong, L.2
Sutherland, D.3
Schneider, J.4
-
11
-
-
84873344588
-
-
A. Anandkumar, R. Ge, D. Hsu, S. M. Kakade, and M. Telgarsky. Tensor decompositions for learning latent variable models. arXiv preprint arXiv:1210.7559 2012. pages 3
-
(2012)
Tensor Decompositions for Learning Latent Variable Models
, pp. 3
-
-
Anandkumar, A.1
Ge, R.2
Hsu, D.3
Kakade, S.M.4
Telgarsky, M.5
-
17
-
-
85047000436
-
-
Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski, Hidetoshi Aoki, and Ryota Kanai. Permutation-equivariant neural networks applied to dynamics prediction. arXiv preprint arXiv:1612.04530 2016. pages 3
-
(2016)
Permutation-equivariant Neural Networks Applied to Dynamics Prediction
, pp. 3
-
-
Guttenberg, N.1
Virgo, N.2
Witkowski, O.3
Aoki, H.4
Kanai, R.5
-
19
-
-
85093462840
-
-
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, and Léon Bottou. Discovering causal signals in images. arXiv preprint arXiv:1605.08179 2016. pages 3
-
(2016)
Discovering Causal Signals in Images
, pp. 3
-
-
Lopez-Paz, D.1
Nishihara, R.2
Chintala, S.3
Schölkopf, B.4
Bottou, L.5
-
20
-
-
84960469741
-
Deeppano: Deep panoramic representation for 3-d shape recognition
-
pages 3, 26, 27
-
Baoguang Shi, Song Bai, Zhichao Zhou, and Xiang Bai. Deeppano: Deep panoramic representation for 3-d shape recognition. IEEE Signal Processing Letters, 22(12):2339-2343, 2015. pages 3, 26, 27
-
(2015)
IEEE Signal Processing Letters
, vol.22
, Issue.12
, pp. 2339-2343
-
-
Shi, B.1
Bai, S.2
Zhou, Z.3
Bai, X.4
-
21
-
-
84973882748
-
Multi-view convolutional neural networks for 3d shape recognition
-
pages 3, 5, 26, 27
-
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller. Multi-view convolutional neural networks for 3d shape recognition. In Proceedings of the IEEE International Conference on Computer Vision, pages 945-953, 2015. pages 3, 5, 26, 27
-
(2015)
Proceedings of the IEEE International Conference on Computer Vision
, pp. 945-953
-
-
Su, H.1
Maji, S.2
Kalogerakis, E.3
Learned-Miller, E.4
-
23
-
-
85018860957
-
Learning multiagent communication with backpropagation
-
pages 3
-
Sainbayar Sukhbaatar, Rob Fergus, et al. Learning multiagent communication with backpropagation. In Neural Information Processing Systems, pages 2244-2252, 2016. pages 3
-
(2016)
Neural Information Processing Systems
, pp. 2244-2252
-
-
Sukhbaatar, S.1
Fergus, R.2
-
24
-
-
57849102080
-
Training invariant support vector Machines using selective sampling
-
Léon Bottou, Olivier Chapelle, Dennis DeCoste, and Jason Weston, editors MIT Press, Cambridge, MA pages 5
-
Gaëlle Loosli, Stéphane Canu, and Léon Bottou. Training invariant support vector machines using selective sampling. In Léon Bottou, Olivier Chapelle, Dennis DeCoste, and Jason Weston, editors, Large Scale Kernel Machines, pages 301-320. MIT Press, Cambridge, MA., 2007. pages 5
-
(2007)
Large Scale Kernel Machines
, pp. 301-320
-
-
Loosli, G.1
Canu, S.2
Bottou, L.3
-
25
-
-
84949636429
-
3d shapenets: A deep representation for volumetric shapes
-
pages 5, 26
-
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao. 3d shapenets: A deep representation for volumetric shapes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1912-1920, 2015. pages 5, 26
-
(2015)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1912-1920
-
-
Wu, Z.1
Song, S.2
Khosla, A.3
Yu, F.4
Zhang, L.5
Tang, X.6
Xiao, J.7
-
28
-
-
85030982311
-
-
26
-
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T Freeman, and Joshua B Tenenbaum. Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling. arXiv preprint arXiv:1610.07584 2016. pages 5, 26
-
(2016)
Learning a Probabilistic Latent Space of Object Shapes Via 3d Generative-adversarial Modeling
, pp. 5
-
-
Wu, J.1
Zhang, C.2
Xue, T.3
Freeman, W.T.4
Tenenbaum, J.B.5
-
29
-
-
84998842231
-
Estimating cosmological parameters from the dark matter distribution
-
Siamak Ravanbakhsh, Junier Oliva, Sebastien Fromenteau, Layne C Price, Shirley Ho, Jeff Schneider, and Barnabás Póczos. Estimating cosmological parameters from the dark matter distribution. In Proceedings of The 33rd International Conference on Machine Learning, 2016. pages 5
-
(2016)
Proceedings of the 33rd International Conference on Machine Learning
, pp. 5
-
-
Ravanbakhsh, S.1
Oliva, J.2
Fromenteau, S.3
Price, L.C.4
Ho, S.5
Schneider, J.6
Póczos, B.7
-
30
-
-
0142228450
-
A mesh reconstruction algorithm driven by an intrinsic property of a point cloud
-
pages 5
-
Hong-Wei Lin, Chiew-Lan Tai, and Guo-Jin Wang. A mesh reconstruction algorithm driven by an intrinsic property of a point cloud. Computer-Aided Design, 36(1):1-9, 2004. pages 5
-
(2004)
Computer-Aided Design
, vol.36
, Issue.1
, pp. 1-9
-
-
Lin, H.-W.1
Tai, C.-L.2
Wang, G.-J.3
-
31
-
-
85006694626
-
-
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al. Shapenet: An information-rich 3d model repository. arXiv preprint arXiv:1512.03012 2015. pages 5
-
(2015)
Shapenet: An Information-rich 3d Model Repository
, pp. 5
-
-
Chang, A.X.1
Funkhouser, T.2
Guibas, L.3
Hanrahan, P.4
Huang, Q.5
Li, Z.6
Savarese, S.7
Savva, M.8
Song, S.9
Su, H.10
-
34
-
-
85047004818
-
-
25
-
AJ Connolly, I Csabai, AS Szalay, DC Koo, RG Kron, and JA Munn. Slicing through multicolor space: Galaxy redshifts from broadband photometry. arXiv preprint astro-ph/9508100, 1995. pages 5, 25
-
(1995)
Slicing Through Multicolor Space: Galaxy Redshifts from Broadband Photometry
, pp. 5
-
-
Connolly, A.J.1
Csabai, I.2
Szalay, A.S.3
Koo, D.C.4
Kron, R.G.5
Munn, J.A.6
-
35
-
-
84896775132
-
Redmapper II: X-ray and sz performance benchmarks for the sdss catalog
-
pages 5, 25
-
Eduardo Rozo and Eli S Rykoff. Redmapper ii: X-ray and sz performance benchmarks for the sdss catalog. The Astrophysical Journal, 783(2):80, 2014. pages 5, 25
-
(2014)
The Astrophysical Journal
, vol.783
, Issue.2
, pp. 80
-
-
Rozo, E.1
Rykoff, E.S.2
-
36
-
-
85047018569
-
Bayesian sets
-
pages 6, 7, 20, 21, 22
-
Zoubin Ghahramani and Katherine A Heller. Bayesian sets. In NIPS, Volume 2, pages 22-23, 2005. pages 6, 7, 20, 21, 22
-
(2005)
NIPS
, vol.2
, pp. 22-23
-
-
Ghahramani, Z.1
Heller, K.A.2
-
37
-
-
84898948585
-
Max-margin Markov networks
-
S. Thrun, L. Saul, and B. Schölkopf, editors Cambridge, MA MIT Press. pages 6
-
B. Taskar, C. Guestrin, and D. Koller. Max-margin Markov networks. In S. Thrun, L. Saul, and B. Schölkopf, editors, Advances in Neural Information Processing Systems 16, pages 25-32, Cambridge, MA, 2004. MIT Press. pages 6
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 25-32
-
-
Taskar, B.1
Guestrin, C.2
Koller, D.3
-
38
-
-
0034118493
-
Inference of population structure using multilocus genotype data
-
pages 6, 22
-
Jonathan K. Pritchard, Matthew Stephens, and Peter Donnelly. Inference of population structure using multilocus genotype data. Genetics, 155(2):945-959, 2000. ISSN 0016-6731. URL http://www.genetics.org/content/155/2/945. pages 6, 22
-
(2000)
Genetics
, vol.155
, Issue.2
, pp. 945-959
-
-
Pritchard, J.K.1
Stephens, M.2
Donnelly, P.3
-
39
-
-
0141607824
-
Latent dirichlet allocation
-
pages 6, 22
-
David M. Blei, Andrew Y. Ng, Michael I. Jordan, and John Lafferty. Latent dirichlet allocation. Journal of Machine Learning Research, 3:2003, 2003. pages 6, 22
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 2003
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
Lafferty, J.4
-
40
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
pages 7, 22
-
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems, pages 3111-3119, 2013. pages 7, 22
-
(2013)
Advances in Neural Information Processing Systems
, pp. 3111-3119
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
41
-
-
84908153711
-
Fast image tagging
-
pages 7, 23
-
Minmin Chen, Alice Zheng, and Kilian Weinberger. Fast image tagging. In Proceedings of The 30th International Conference on Machine Learning, pages 1274-1282, 2013. pages 7, 23
-
(2013)
Proceedings of the 30th International Conference on Machine Learning
, pp. 1274-1282
-
-
Chen, M.1
Zheng, A.2
Weinberger, K.3
-
42
-
-
5044225521
-
Multiple bernoulli relevance models for image and video annotation
-
Washington, DC, USA IEEE Computer Society. pages 7, 23
-
S. L. Feng, R. Manmatha, and V. Lavrenko. Multiple bernoulli relevance models for image and video annotation. In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'04, pages 1002-1009, Washington, DC, USA, 2004. IEEE Computer Society. pages 7, 23
-
(2004)
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'04
, pp. 1002-1009
-
-
Feng, S.L.1
Manmatha, R.2
Lavrenko, V.3
-
43
-
-
56749168888
-
A new baseline for image annotation
-
Berlin, Heidelberg Springer-Verlag. pages 7, 23
-
Ameesh Makadia, Vladimir Pavlovic, and Sanjiv Kumar. A new baseline for image annotation. In Proceedings of the 10th European Conference on Computer Vision: Part III, ECCV'08, pages 316-329, Berlin, Heidelberg, 2008. Springer-Verlag. pages 7, 23
-
(2008)
Proceedings of the 10th European Conference on Computer Vision: Part III, ECCV'08
, pp. 316-329
-
-
Makadia, A.1
Pavlovic, V.2
Kumar, S.3
-
44
-
-
77953202699
-
Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation
-
IEEE pages 7, 23, 24
-
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, and Cordelia Schmid. Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation. In Computer Vision, 2009 IEEE 12th International Conference on, pages 309-316. IEEE, 2009. pages 7, 23, 24
-
(2009)
Computer Vision, 2009 IEEE 12th International Conference On
, pp. 309-316
-
-
Guillaumin, M.1
Mensink, T.2
Verbeek, J.3
Schmid, C.4
-
46
-
-
31544479806
-
Roots and polynomials as homeomorphic spaces
-
pages 13, 15
-
Branko Ćurgus and Vania Mascioni. Roots and polynomials as homeomorphic spaces. Expositiones Mathematicae, 24(1):81-95, 2006. pages 13, 15
-
(2006)
Expositiones Mathematicae
, vol.24
, Issue.1
, pp. 81-95
-
-
Ćurgus, B.1
Mascioni, V.2
-
50
-
-
34250122797
-
Interpolation of scattered data: Distance matrices and conditionally positive definite functions
-
pages 18
-
C. A. Micchelli. Interpolation of scattered data: distance matrices and conditionally positive definite functions. Constructive Approximation, 2:11-22, 1986. pages 18
-
(1986)
Constructive Approximation
, vol.2
, pp. 11-22
-
-
Micchelli, C.A.1
-
53
-
-
84906493406
-
Microsoft coco: Common objects in context
-
Springer pages 23
-
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. Microsoft coco: Common objects in context. In European Conference on Computer Vision, pages 740-755. Springer, 2014. pages 23
-
(2014)
European Conference on Computer Vision
, pp. 740-755
-
-
Lin, T.-Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Dollár, P.7
Lawrence Zitnick, C.8
|