Travelled to:1 × Canada
1 × France
1 × USA
Collaborated with:R.Salakhutdinov J.Martens H.Lee R.Ranganath A.Y.Ng D.K.Duvenaud J.R.Lloyd J.B.Tenenbaum Z.Ghahramani
Talks about:network (2) factor (2) nonparametr (1) unsupervis (1) represent (1) discoveri (1) structur (1) hierarch (1) gradient (1) curvatur (1)
Person: Roger B. Grosse
DBLP: Grosse:Roger_B=
Contributed to:
201520132009Wrote 4 papers:
- ICML-2015-GrosseS #matrix #scalability
- Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix (RBG, RS), pp. 2304–2313.
- ICML-2015-MartensG #approximate #network #optimisation
- Optimizing Neural Networks with Kronecker-factored Approximate Curvature (JM, RBG), pp. 2408–2417.
- ICML-c3-2013-DuvenaudLGTG #composition #kernel #parametricity
- Structure Discovery in Nonparametric Regression through Compositional Kernel Search (DKD, JRL, RBG, JBT, ZG), pp. 1166–1174.
- ICML-2009-LeeGRN #learning #network #scalability
- Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (HL, RBG, RR, AYN), pp. 609–616.