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Articles: 1'995'824
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20 September 2020
 
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Results 1 to 20 of 53 for query "Zoubin Ghahramani". (0.01 sec.)

[    1    2    3    ]   Next
1.
Dropout as a Bayesian Approximation: Appendix
Yarin Gal; Zoubin Ghahramani;
6 Jun 2015
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2.
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects
Will Y. Zou; Smitha Shyam; Michael Mui; Mingshi Wang; Jan Pedersen; Zoubin Ghahramani;
21 Apr 2020
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3.
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
Mohamed Tarek; Kai Xu; Martin Trapp; Hong Ge; Zoubin Ghahramani;
7 Feb 2020
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4.
Resource-Efficient Neural Networks for Embedded Systems
Wolfgang Roth; Günther Schindler; Matthias Zöhrer; Lukas Pfeifenberger; Robert Peharz; Sebastian Tschiatschek; Holger Fröning; Franz Pernkopf; Zoubin Ghahramani;
7 Jan 2020
- - -
5.
Efficient and Robust Machine Learning for Real-World Systems
Franz Pernkopf; Wolfgang Roth; Matthias Zoehrer; Lukas Pfeifenberger; Guenther Schindler; Holger Froening; Sebastian Tschiatschek; Robert Peharz; Matthew Mattina; Zoubin Ghahramani;
5 Dec 2018
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6.
Imitation networks: Few-shot learning of neural networks from scratch
Akisato Kimura; Zoubin Ghahramani; Koh Takeuchi; Tomoharu Iwata; Naonori Ueda;
8 Feb 2018
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7.
Variational Gaussian Dropout is not Bayesian
Jiri Hron; Alexander G. de G. Matthews; Zoubin Ghahramani;
8 Nov 2017
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8.
One-Shot Learning in Discriminative Neural Networks
Jordan Burgess; James Robert Lloyd; Zoubin Ghahramani;
18 Jul 2017
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9.
General Latent Feature Models for Heterogeneous Datasets
Isabel Valera; Melanie F. Pradier; Zoubin Ghahramani;
12 Jun 2017
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10.
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Shixiang Gu; Timothy Lillicrap; Zoubin Ghahramani; Richard E. Turner; Bernhard Schölkopf; Sergey Levine;
1 Jun 2017
- - -
11.
GPflow: A Gaussian process library using TensorFlow
Alexander G. de G. Matthews; Mark van der Wilk; Tom Nickson; Keisuke Fujii; Alexis Boukouvalas; Pablo León-Villagrá; Zoubin Ghahramani; James Hensman;
27 Oct 2016
- - -
12.
A General Framework for Constrained Bayesian Optimization using Information-based Search
José Miguel Hernández-Lobato; Michael A. Gelbart; Ryan P. Adams; Matthew W. Hoffman; Zoubin Ghahramani;
30 Nov 2015
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13.
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
Amar Shah; Zoubin Ghahramani;
23 Nov 2015
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14.
Sandwiching the marginal likelihood using bidirectional Monte Carlo
Roger B. Grosse; Zoubin Ghahramani; Ryan P. Adams;
9 Nov 2015
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15.
Dirichlet Fragmentation Processes
Hong Ge; Yarin Gal; Zoubin Ghahramani;
16 Sep 2015
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16.
Subsampling-Based Approximate Monte Carlo for Discrete Distributions
Yutian Chen; Zoubin Ghahramani;
30 Jun 2015
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17.
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process
Amar Shah; David A. Knowles; Zoubin Ghahramani;
26 Jun 2015
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18.
MCMC for Variationally Sparse Gaussian Processes
James Hensman; Alexander G. de G. Matthews; Maurizio Filippone; Zoubin Ghahramani;
12 Jun 2015
- - -
19.
Neural Adaptive Sequential Monte Carlo
Shixiang Gu; Richard E. Turner; Zoubin Ghahramani;
10 Jun 2015
- - -
20.
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Yarin Gal; Zoubin Ghahramani;
6 Jun 2015
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