BibSLEIGH corpus
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × France
1 × USA
2 × China
Collaborated with:
M.A.Gelbart S.W.Linderman O.Rippel A.Miller J.Snoek K.Swersky D.Maclaurin D.K.Duvenaud L.Bornn K.Goldsberry R.H.Affandi E.B.Fox B.Taskar R.S.Zemel Prabhat J.M.Hernández-Lobato M.W.Hoffman Z.Ghahramani A.Waterland E.Angelino J.Appavoo M.I.Seltzer J.Regier J.McAuliffe M.D.Hoffman D.Lang D.Schlegel R.Kiros N.Satish N.Sundaram M.M.A.Patwary
Talks about:
optim (4) bayesian (3) process (3) point (3) learn (3) scalabl (2) network (2) hyperparamet (1) determinant (1) stationari (1)

Person: Ryan P. Adams

DBLP DBLP: Adams:Ryan_P=

Contributed to:

ICML 20152015
ASPLOS 20142014
ICML c1 20142014
ICML c2 20142014

Wrote 10 papers:

ICML-2015-Hernandez-Lobato15a #constraints #optimisation #predict
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints (JMHL, MAG, MWH, RPA, ZG), pp. 1699–1707.
ICML-2015-MaclaurinDA #learning #optimisation
Gradient-based Hyperparameter Optimization through Reversible Learning (DM, DKD, RPA), pp. 2113–2122.
ICML-2015-RegierMMAHLSP #generative #image #named
Celeste: Variational inference for a generative model of astronomical images (JR, AM, JM, RPA, MDH, DL, DS, P), pp. 2095–2103.
ICML-2015-SnoekRSKSSPPA #network #optimisation #scalability #using
Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.
ASPLOS-2014-WaterlandAAAS #automation #named #scalability
ASC: automatically scalable computation (AW, EA, RPA, JA, MIS), pp. 575–590.
ICML-c1-2014-MillerBAG #analysis #process
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball (AM, LB, RPA, KG), pp. 235–243.
ICML-c2-2014-AffandiFAT #kernel #learning #parametricity #process
Learning the Parameters of Determinantal Point Process Kernels (RHA, EBF, RPA, BT), pp. 1224–1232.
ICML-c2-2014-LindermanA #network #process
Discovering Latent Network Structure in Point Process Data (SWL, RPA), pp. 1413–1421.
ICML-c2-2014-RippelGA #learning #order
Learning Ordered Representations with Nested Dropout (OR, MAG, RPA), pp. 1746–1754.
ICML-c2-2014-SnoekSZA #optimisation
Input Warping for Bayesian Optimization of Non-Stationary Functions (JS, KS, RSZ, RPA), pp. 1674–1682.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.