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NIPS 2016 spotlight - PAC Bayesian Theory Meets Bayesian Inference

NIPS 2016 spotlight - PAC Bayesian Theory Meets Bayesian Inference

NIPS 2016 spotlight

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

Coresets for Bayesian Logistic Regression - NIPS 2016 spotlight video

Coresets for Bayesian Logistic Regression - NIPS 2016 spotlight video

NIPS 2016 spotlight

Bayesian Optimization for Probabilistic Programs (NIPS 2016 Spotlight)

Bayesian Optimization for Probabilistic Programs (NIPS 2016 Spotlight)

Spotlight

NIPS 2016 Spotlight Video

NIPS 2016 Spotlight Video

This is the

Structured Bayesian Pruning (NIPS 2017 Spotlight video)

Structured Bayesian Pruning (NIPS 2017 Spotlight video)

This is a

NIPS 2016 spotlight: Multiple-Plays Bandits in the Position-Based Model

NIPS 2016 spotlight: Multiple-Plays Bandits in the Position-Based Model

3-minute

Data Programming NIPS 2016 Spotlight Video

Data Programming NIPS 2016 Spotlight Video

The

NIPS 2016 spotlight video - CMICOT

NIPS 2016 spotlight video - CMICOT

Submission #2324 Alexander Shishkin, Anastasia Bezzubtseva, Alexey Drutsa, Ilya Shishkov, Ekaterina Gladkikh, Gleb Gusev, ...

NIPS 2016 Spotlight - On Robustness of Kernel Clustering

NIPS 2016 Spotlight - On Robustness of Kernel Clustering

The

NIPS 2016 --- Disease Trajectory Maps Spotlight

NIPS 2016 --- Disease Trajectory Maps Spotlight

NIPS 2016 --- Disease Trajectory Maps Spotlight

NIPS 2016, k*-Nearest Neighbours: From Global to Local

NIPS 2016, k*-Nearest Neighbours: From Global to Local

NIPS 2016

NIPS 2016 Spotlight - Boosting with Abstention

NIPS 2016 Spotlight - Boosting with Abstention

For more details, please refer to paper: http://www.cims.nyu.edu/~desalvo/files/boostingwithabstension.pdf.