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Ghislain Geniaux

INRA
Researcher
Avignon, France

spatial econometrics, spatial probit, local regression.

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:15am PDT

Coffee Break Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

12:00pm PDT

Lunch Campbell Rehearsal Hall

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall

2:15pm PDT

Coffee Break McCaw Hall

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall

4:00pm PDT

Short Break McCaw Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

5:20pm PDT

Discussion McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:00pm PDT

Capturing and understanding patterns in plant genetic resource data to develop climate change adaptive crops using the R platform SIEPR 120

1:18pm PDT

Experiences on the Use of R in the Water Sector SIEPR 120

1:36pm PDT

A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho SIEPR 120

1:54pm PDT

Multiple Hurdle Tobit models in R: The mhurdle package Barnes & McDowell & Cranston

2:12pm PDT

Wrap your model in an R package! SIEPR 120

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Applied Biclustering Using the BiclustGUI R Package Sponsor Pavilion High-performance R with FastR Sponsor Pavilion Urban Mobility Modeling using R and Big Data from Mobile Phones Sponsor Pavilion Writing a dplyr backend to support out-of-memory data for Microsoft R Server Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:00pm PDT

A spatial policy tool for cycling potential in England SIEPR 120

1:18pm PDT

SpatialProbit for fast and accurate spatial probit estimations SIEPR 120

1:36pm PDT

Revisiting the Boston data set (Harrison and Rubinfeld, 1978) SIEPR 120

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

2:12pm PDT

brglm: Reduced-bias inference in generalized linear models Econ 140

2:30pm PDT

Coffee Break with Poster Session McCaw Hall Analyzing and visualizing spatially and temporally variable floodplain inundation Sponsor Pavilion hurdlr: An R package for zero-inflated and over-dispersed count data Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:48am PDT

Authoring Books with R Markdown McCaw Hall

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:35pm PDT

Interact with Python from within R McCaw Hall Scalable Machine Learning in R with H2O Lane & Lyons & Lodato