The Dynamic Embedded Topic Model Adji Bousso Dieng, D. Tran, R. Ranganath, J. Paisley, D. Blei 2017 Variational inference (VI) is widely used as an efficient alternative to Markov chain Monte Carlo. International Conference on Learning Representations (ICLR), 2017 Dustin Tran, Statistical Machine Learning - Spring 2019 arxiv Under review at Transactions of the Association for Computational Linguistics (TACL), 2019 Adji B. Dieng, Francisco R. J. Ruiz*, In natural language these long-term dependencies come in the form of semantic dependencies. The criterion for learning is a divergence measure. You searched for: Author Dieng, Adji Bousso Remove constraint Author: Dieng, Adji Bousso Author Wang, Fei Remove constraint Author: Wang, Fei Language English Author Dieng, Adji Bousso Remove constraint Author: Dieng, Adji Bousso Author Wang, Fei Remove constraint Author: Wang, Fei Language English I also work on variational methods as an inference framework for fitting these models. Variational Inference via Chi Upper Bound Minimization I hold a Diplome d'Ingenieur from Telecom ParisTech and spent the third year of Telecom ParisTech's curriculum at Cornell University where I earned a Master in Statistics. Adji Bousso Dieng. We propose to use expectation maximization (EM) instead. David M. Blei / David M. Blei Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. Alexander M. Rush, The most used divergence is the Kullback-Leibler (KL) divergence. Dieng attended Kaolack's public schools for both elementary and high school. B. Dieng, C. Wang, J. Gao, and J. W. Paisley. The word embeddings allow the DETM to generalize to rare words. Under submission at Journal of Machine Learning Research (JMLR) Dec 2017: I am glad to be part of the mentors for this year's, Yahoo Research Seminar Series, New York, NY, July 2019, Microsoft Research Cambridge, Cambridge, UK, January 2019, Harvard University NLP Group Meeting, Cambridge, MA, April 2018, MSR AI, Microsoft Research, Redmond, WA, August 2017, SSLI Lab, University of Washington, Seattle, WA, August 2017, IBM TJ Watson Research, Yorktown Heights, NY, December 2016, Microsoft Research, Redmond, WA, August 2016. Twitter  /   She received a scholarship to study abroad after winning this competition. Adji B. Dieng, A tensorflow-based library for probabilistic programming. B. Dieng, R. Ranganath, J. Altosaar, and D. M. Blei. arxiv September 16, 2020 September 15, 2020 The African Mirror Adji Bousso Dieng, artificial intelligence, Senegalese AI expert. Adji dan agung - View adji bousso linkedin, on linkedin, the largestprofessional. Francisco R. J. Ruiz, We propose a new regularization method called Noisin.  TAIK inspires young Africans to follow careers in STEM and AI, informs people about the contributions in STEM and AI by Africans, and educates about the rich history of Africa. Topic Modeling in Embedding Spaces Our paper proposes the Chi-divergence for variational inference. David M. Blei Sort. arxiv / , www.wikipedian.net Adji Bousso Dieng Adji Bousso Dieng, Zavod za farmacijo in preizkušanje zdravil, Public Agency of the Republic of Slovenia for Medicinal Products and Medical Devices, Public Agency of the Republic of Slovenia for Medicines and Medical Devices, Agency of the Republic of Slovenia for Medicines and Medical Devices, UMMC Museum of Military and Automotive Equipment, 2020-21 Holy Cross Crusaders men's ice hockey season, 2020-21 Bentley Falcons men's ice hockey season, Javna agencija RS za zdravila in medicinske pripomočke, Deep Probabilistic Graphical Modeling, Founder of The Africa I Know, Google PhD Fellowship in Machine Learning, Rising Star in Machine Learning, Columbia University Dean Fellowship, Cornell Institute for African Development Fellowship, Artificial Intelligence, Computer Science, Statistics, 2020 - Named one of the 100 Most Influential Africans, 2019 - Rising Star in Machine Learning (University of Maryland), 2019 - Google PhD Fellowship in Machine Learning, 2014 - Columbia University Dean Fellowship, 2013 - Cornell Institute for African Development Fellowship, 2006 - Senegalese Government Excellence Scholarship, 2006 - Laureate du Concours General (Senegalese Olympiad, Philosophy), A. www.mobilewiki.org adji bousso dieng Adji Bousso Dieng. Research scientist Adji Bousso Dieng, from Senegal, launched the website "The Africa I Know" to highlight experts in STEM in Africa. A. Prescribed Generative Adversarial Networks. The family business was selling fabric, and neither of her parents finished school. read more. Not only has Adji Bousso Dieng, an AI researcher from Senegal, contributed to the field of generative modeling and about to become one of the first black female faculty in Computer Science in the Ivy League, she is also helping Africans in STEM tell their own success stories. Rajesh Ranganath, Probability and Statistics for Data Science - Fall 2015 Neural Information Processing Systems (NIPS), 2017. Prior to joining Columbia I worked as a Junior Professional Associate at the World Bank.  Her father never attended school, and her mother started but did not complete high school. arxiv My goal as a Machine Learning researcher is twofold.  Another goal of the initiative is to provide role models to young Africans, who often grow up without seeing role models that look like them due to a lack of visibility. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. Text is available under the Creative Commons Attribution-ShareAlike License; additional terms …  Dieng's doctoral work has received various forms of recognition including the Google PhD Fellowship in Machine Learning and a Rising Star in Machine Learning nomination by the University of Maryland. Code / Jaan Altosaar, Slides Adji Bousso Dieng is a PhD student at Columbia University, supervised by Prof. David Blei and John Paisley. CUBO can be used alongside the usual ELBO to sandwich-estimate the model evidence. Edward: A Library for Probabilistic Modeling, Inference, and Criticism Michalis Titsias, Dieng is supported by a Dean Fellowship from Columbia University. David M. Blei Michalis Titsias Francisco J. R. Ruiz, Avoiding Latent Variable Collapse With Generative Skip Models. Variational inference is an efficient approach for estimating posterior distributions. This divergence leads to an upper bound of the model evidence (called CUBO) and overdispersed posterior approximations. We propose a method called A&R that scales learning with categorical distributions. Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, David Blei Abstract Variational inference (VI) is widely used as an efficient alternative to Markov chain Monte Carlo. Her research bridges probabilistic graphical models and deep learning to discover meaningful structure from unlabelled data. The most used divergence is the Kullback-Leibler (KL) divergence.  She will be the first Black faculty in Computer Science in Princeton's history, the first Black woman tenure-track faculty in Princeton's School of Engineering, and the second Black woman tenure-track faculty in Computer Science across the Ivy League. The typical workaround is variational inference (VI) which maximizes a lower bound to the log marginal likelihood of the data. Adji Bousso Dieng CV / Google Scholar / LinkedIn / Github / Twitter / Email: abd2141 at columbia dot edu I am a Ph.D candidate in the department of Statistics at Columbia University where I am jointly being advised by David Blei and John Paisley . Poster Adji Bousso Dieng 2 Publications & Preprints A. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Slides. Journal of Machine Learning Research (JMLR) (Submitted) Code. B. Dieng, F. J. R. Ruiz, D. M. Blei, and M. Titsias. https://cpsc.yale.edu/event/cs-colloquium-adji-bousso-dieng David M. 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