Monaco Grand Prix, Monte Carlo, Monaco, Partial derivative, Gradient, Level set

Monte Carlo gradient estimators

On Dec 21, 2020
@shakir_za shared
RT @jpillowtime: New blog post from @ysanchezaraujo on "score function" (aka REINFORCE trick) and "pathwise" (aka reparametrization trick) Monte Carlo gradient estimators, which we discussed in lab meeting a few weeks ago: https://t.co/SYcwuKU2wb
Open

A couple weeks ago during lab meeting we discussed parts of Monte Carlo Gradient Estimation in Machine Learning. This is a lovely survey of the topic and unfortunately we only covered a small part …

pillowlab.wordpress.com
On Dec 21, 2020
@shakir_za shared
RT @jpillowtime: New blog post from @ysanchezaraujo on "score function" (aka REINFORCE trick) and "pathwise" (aka reparametrization trick) Monte Carlo gradient estimators, which we discussed in lab meeting a few weeks ago: https://t.co/SYcwuKU2wb
Open

Monte Carlo gradient estimators

Monte Carlo gradient estimators

A couple weeks ago during lab meeting we discussed parts of Monte Carlo Gradient Estimation in Machine Learning. This is a lovely survey of the topic and unfortunately we only covered a ...

Monte Carlo Gradient Estimation in Machine Learning

Monte Carlo Gradient Estimation in Machine Learning

This paper is a broad and accessible survey of the methods we have at our disposal for Monte Carlo gradient estimation in machine learning and across the statistical sciences: the problem ...

The Paths Perspective on Value Learning

The Paths Perspective on Value Learning

A closer look at how Temporal Difference Learning merges paths of experience for greater statistical efficiency

Click here to read the article

Click here to read the article

While direct minimization of these distances or divergences – namely Wasserstein (Salimans et al., 2018), and MMD (Li et al., 2015; Dziugaite et al., 2015), Crame´r (Bellemare et al., 2017) ...

The many faces of integration by parts – II : Randomized smoothing and score functions

The many faces of integration by parts – II : Randomized smoothing and score functions

After a short review on integration by parts and its applications to score functions, I will present four quite diverse applications, to (1) optimization and randomized smoothing, (2) ...

Monte Carlo Raises $16M to Build the World’s First Data Reliability Platform

Monte Carlo Raises $16M to Build the World’s First Data Reliability Platform

With customers such as Compass, Eventbrite, and Mindbody, Monte Carlo is spearheading the Data Reliability category and delivering end-to-end Data Observability.

Monte Carlo Yachts 76 (2020-)

Monte Carlo Yachts 76 (2020-)

Key Features Four staterooms with ensuites Twin MAN 1400-hp V-12 engines Full-beam master amidships Full-sized appliances in galley Test Results 600 7.5 6.5 1.9 3.9 3.4 4593 3993.7 59 1000 ...

Project: Monte Carlo 52

Project: Monte Carlo 52

PowerYacht is a daily updated online mag for motor boats, cruisers and yachts with New Models, Project articles and more!

New ‘Smart Luxury’ Generation Monte Carlo 52

New ‘Smart Luxury’ Generation Monte Carlo 52

The launch of the new Monte Carlo 52 is set to be one of the main highlights for Beneteau at the Cannes Yachting Festival in September. This 50-footer will introduce the next iteration of ...