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个人简介
My research interests are closely related to the mathematical modelling of the world, especially when this helps to solve real worl problems. I’m a big fan of: variational inference: how to transform an intractable integral into an optimization problem. Classically, people use a method called Variational Bayes (VB) which is based on Jensen inequality, but I found a new way of doing using Holder inequality that has much nicer theoretical properties. stochastic optimization: using randomization techniques to learn faster. In particular the concepts of learning to sample and learning to optimize seem to be really promising research topics, factorization model: why spectral theory appear naturally in many different areas and why embedding models can the seen as good prior for logical reasoning.
研究兴趣
论文共 135 篇作者统计合作学者相似作者
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Arnav Arora,Preslav Nakov,Momchil Hardalov,Sheikh Muhammad Sarwar, Vibha Nayak,Yoan Dinkov,Dimitrina Zlatkova,Kyle Dent, Ameya Bhatawdekar,Guillaume Bouchard,Isabelle Augenstein
ACM COMPUTING SURVEYSno. 3 (2024): 1-17
Francesco Massimo,Mathieu Lobet, Julien Derouillat,Arnaud Beck,Guillaume Bouchard,Mickael Grech,Frédéric Pérez,Tommaso Vinci
Platform for Advanced Scientific Computing Conference (PASC)pp.5:1-5:13, (2022)
HPC Asia Workshopspp.40-48, (2022)
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (2019)
Julien Derouillat,Arnaud Beck,F. Pérez,T. Vinci,M. Chiaramello,A. Grassi, M. Flé,G. Bouchard, I. Plotnikov,N. Aunai,J. Dargent,C. Riconda,
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