activity
20152020
most citedBayesian Optimization for Synthetic Gene Design

41 citations · 47 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML20204 cited

Multi-task Causal Learning with Gaussian Processes

Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez +1

This paper studies the problem of learning the correlation structure of a set of intervention functions defined on the directed acyclic graph (DAG) of a causal model. This is usefu…

cs.LG20201 cited

Structure Mapping for Transferability of Causal Models

Purva Pruthi, Javier González, Xiaoyu Lu +1

Human beings learn causal models and constantly use them to transfer knowledge between similar environments. We use this intuition to design a transfer-learning framework using obj…

math.GR20171 cited

On expansions of non-abelian free groups by cosets of a finite index subgroup

Javier de la Nuez González

Let be a finitely generated non-abelian free group and a finite quotient. Denote by the language obtained by adding unary predicates , to the language o…

stat.ML201541 cited

Bayesian Optimization for Synthetic Gene Design

Javier González, Joseph Longworth, David C. James +1

We address the problem of synthetic gene design using Bayesian optimization. The main issue when designing a gene is that the design space is defined in terms of long strings of ch…

stat.ME2015

Level Sets Based Distances for Probability Measures and Ensembles with Applications

Alberto Muñoz, Gabriel Martos, Javier González

In this paper we study Probability Measures (PM) from a functional point of view: we show that PMs can be considered as functionals (generalized functions) that belong to some func…