Media Summary: Tensor factorization is a powerful tool to analyse multi-way data. Recently proposed This is a 3-min spotlight video to be featured on the David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and machine learning is to ...

Nips 2016 Distributed Flexible Nonlinear - Detailed Analysis & Overview

Tensor factorization is a powerful tool to analyse multi-way data. Recently proposed This is a 3-min spotlight video to be featured on the David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and machine learning is to ... Spotlight video for "A Locally Adaptive Normal Spotlight video for the paper "Finding significant combinations of features in the presence of categorical covariates" by L. NIPS 2016 - Generative Adversarial Networks - Ian Goodfellow

Deep learning has been at the root of significant progress in many application areas, such as computer perception and natural ...

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NIPS 2016 Distributed Flexible Nonlinear Tensor Factorization
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories [NIPS 2016 spotlight]
NIPS 2016 Workshop on Nonconvex Optimization: Ryan Adams (Structure in Bayesian Optimization)
NIPS 2016 Workshop on Nonconvex Optimization: Suvrit Sra (Taming Nonconvexity via Geometry)
NIPS 2016 Workshop on Nonconvex Optimization: Surya Ganguli (landscape/capacity of deep networks)
Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)
Spotlight video for "A Locally Adaptive Normal Distribution", NIPS 2016
NIPS 2016 Finding significant combinations of features in the presence of categorical covariates
NIPS 2016 - Generative Adversarial Networks - Ian Goodfellow
NIPS 2016 Workshop on Nonconvex Optimization: Discussion Panel
Predictive Learning, NIPS 2016 | Yann LeCun, Facebook Research
NIPS 2016 Spotlight Video - Sublinear Time Orthogonal Tensor Decomposition
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NIPS 2016 Distributed Flexible Nonlinear Tensor Factorization

NIPS 2016 Distributed Flexible Nonlinear Tensor Factorization

Tensor factorization is a powerful tool to analyse multi-way data. Recently proposed

Interpretable Nonlinear Dynamic Modeling of Neural Trajectories [NIPS 2016 spotlight]

Interpretable Nonlinear Dynamic Modeling of Neural Trajectories [NIPS 2016 spotlight]

This is a 3-min spotlight video to be featured on the

NIPS 2016 Workshop on Nonconvex Optimization: Ryan Adams (Structure in Bayesian Optimization)

NIPS 2016 Workshop on Nonconvex Optimization: Ryan Adams (Structure in Bayesian Optimization)

NIPS 2016

NIPS 2016 Workshop on Nonconvex Optimization: Suvrit Sra (Taming Nonconvexity via Geometry)

NIPS 2016 Workshop on Nonconvex Optimization: Suvrit Sra (Taming Nonconvexity via Geometry)

NIPS 2016

NIPS 2016 Workshop on Nonconvex Optimization: Surya Ganguli (landscape/capacity of deep networks)

NIPS 2016 Workshop on Nonconvex Optimization: Surya Ganguli (landscape/capacity of deep networks)

NIPS 2016

Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)

Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)

David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and machine learning is to ...

Spotlight video for "A Locally Adaptive Normal Distribution", NIPS 2016

Spotlight video for "A Locally Adaptive Normal Distribution", NIPS 2016

Spotlight video for "A Locally Adaptive Normal

NIPS 2016 Finding significant combinations of features in the presence of categorical covariates

NIPS 2016 Finding significant combinations of features in the presence of categorical covariates

Spotlight video for the paper "Finding significant combinations of features in the presence of categorical covariates" by L.

NIPS 2016 - Generative Adversarial Networks - Ian Goodfellow

NIPS 2016 - Generative Adversarial Networks - Ian Goodfellow

NIPS 2016 - Generative Adversarial Networks - Ian Goodfellow

NIPS 2016 Workshop on Nonconvex Optimization: Discussion Panel

NIPS 2016 Workshop on Nonconvex Optimization: Discussion Panel

NIPS 2016

Predictive Learning, NIPS 2016 | Yann LeCun, Facebook Research

Predictive Learning, NIPS 2016 | Yann LeCun, Facebook Research

Deep learning has been at the root of significant progress in many application areas, such as computer perception and natural ...

NIPS 2016 Spotlight Video - Sublinear Time Orthogonal Tensor Decomposition

NIPS 2016 Spotlight Video - Sublinear Time Orthogonal Tensor Decomposition

NIPS 2016

NIPS 2016 Workshop on Nonconvex Optimization: Jean Lasserre (Moment-LP and Moment-SOS)

NIPS 2016 Workshop on Nonconvex Optimization: Jean Lasserre (Moment-LP and Moment-SOS)

NIPS 2016