GibbsNet NIPS 2017 Spotlight

GibbsNet NIPS 2017 Spotlight

NIPS 2017 Spotlight Video for "Deep Hyperspherical Learning"Подробнее

NIPS 2017 Spotlight Video for 'Deep Hyperspherical Learning'

NIPS 2017 Spotlight Video - Structured Embedding Models for Grouped DataПодробнее

NIPS 2017 Spotlight Video - Structured Embedding Models for Grouped Data

Hierarchical Methods of Moments (NIPS 2017 Spotlight Video)Подробнее

Hierarchical Methods of Moments (NIPS 2017 Spotlight Video)

Net Trim (NIPS 2017)Подробнее

Net Trim (NIPS 2017)

NIPS 2017, Online to offline conversions, Universality & Adaptive minbatch sizesПодробнее

NIPS 2017, Online to offline conversions, Universality & Adaptive minbatch sizes

[NIPS 2017] Spotlight Video: Inhomogeneous Hypergraph Clustering with ApplicationsПодробнее

[NIPS 2017] Spotlight Video: Inhomogeneous Hypergraph Clustering with Applications

NIPS 2017: Learning to RunПодробнее

NIPS 2017: Learning to Run

[NIPS 2017] Spotlight Video: Estimating Mutual Information for Discrete-Continuous MixturesПодробнее

[NIPS 2017] Spotlight Video: Estimating Mutual Information for Discrete-Continuous Mixtures

NIPS 2017 Spotlight: Submultiplicative Glivenko-Cantelli and Uniform Convergence of RevenuesПодробнее

NIPS 2017 Spotlight: Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues

Multi-Information Source Optimization - NIPS 2017Подробнее

Multi-Information Source Optimization - NIPS 2017

Структурированное байесовское сокращение (видео NIPS 2017)Подробнее

Структурированное байесовское сокращение (видео NIPS 2017)

Acceleration and Averaging in Stochastic Descent Dynamics - NIPS 2017 spotlightПодробнее

Acceleration and Averaging in Stochastic Descent Dynamics - NIPS 2017 spotlight

Safe Adaptive Importance Sampling (NIPS 2017 Spotlight)Подробнее

Safe Adaptive Importance Sampling (NIPS 2017 Spotlight)