This inventor holds 2 USPTO granted patents, plus 4 CIPO patents. Top assignees: Harvard College, Socpra Sciences Et Genie S.e.c., University of Toronto. Active years: 2018-2019.
Company Filing History:
2 out of 3,071 
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Years Active: 2018-2019
Title: Hugo Larochelle: Innovator in Bayesian Optimization
Introduction
Hugo Larochelle is a prominent inventor based in Sherbrooke, Canada. He has made significant contributions to the field of optimization, particularly in Bayesian methods. With a total of 2 patents, his work focuses on enhancing the efficiency of optimization processes.
Latest Patents
Hugo's latest patents include "Systems and methods for parallelizing Bayesian optimization" and "Systems and methods for Bayesian optimization using integrated acquisition functions." The first patent outlines techniques for performing optimization using an objective function, which involves evaluating the function at multiple points based on likelihoods of potential outcomes. The second patent describes methods for identifying evaluation points using an integrated acquisition utility function and updating a probabilistic model based on evaluation results.
Career Highlights
Hugo has worked at prestigious institutions such as the University of Toronto and Harvard College. His experience in these environments has allowed him to develop innovative techniques that advance the field of optimization.
Collaborations
Hugo has collaborated with notable individuals in his field, including Ryan P. Adams and Roland Jasper Snoek. These collaborations have contributed to the development of his patents and the advancement of Bayesian optimization techniques.
Conclusion
Hugo Larochelle's work in Bayesian optimization showcases his innovative spirit and dedication to improving optimization methods. His contributions are valuable to both academic and practical applications in the field.