adji bousso dieng wikipedia

Form a generative model of documents that defines the likelihood of a word as a Categorical whose natural parameter is the dot product between the word embedding and its assigned topic's embedding. Research scientist Adji Bousso Dieng, from Senegal, launched the website "The Africa I Know" to highlight experts in STEM in Africa. Email: abd2141 at columbia dot edu. at Columbia University where I am jointly being advised by David Blei / In 2013 she graduated from Télécom ParisTech, earning her Diplome d'ingenieur (a degree in Engineering from France's Grandes Ecoles system). This two-step procedure shies away from the current VAE approach of bundling together model fitting and posterior inference. Our paper proposes the Chi-divergence for variational inference. This results in a stronger dependence between observations and their latents and therefore avoids latent variable collapse. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Yoon Kim, In 2013, Dieng accepted a position as a Junior Professional Associate at the World Bank working on risk modeling in the Department of Market and Counterparty Risk. Prescribed Generative Adversarial Networks The family business was selling fabric, and neither of her parents finished school. 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 B. Dieng, Y. Kim, A. M. Rush, and D. M. Blei. Recent Changes. Her research bridges probabilistic graphical ... More info. Neural Information Processing Systems (NeurIPS), 2017 Twitter  /  International Conference on Machine Learning (ICML) (Submitted) This solution leads to the Skip-VAE--a deep generative model that avoids latent variable collapse. John Paisley arxiv. CUBO can be used alongside the usual ELBO to sandwich-estimate the model evidence. Poster Adji dan agung - View adji bousso linkedin, on linkedin, the largestprofessional. 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 . https://cpsc.yale.edu/event/cs-colloquium-adji-bousso-dieng We propose to use expectation maximization (EM) instead. [5] She left the World Bank the following summer, in 2014, after being awarded a Columbia University Dean Fellowship to start a PhD in Statistics. David M. Blei Variational Inference via χ Upper Bound Minimization. Dieng was born and raised in Kaolack, Senegal. The typical workaround is variational inference (VI) which maximizes a lower bound to the log marginal likelihood of the data. The slides are available here. Dieng is supported by a Dean Fellowship from Columbia University. Adji Bousso Dieng is currently a Research Scientist at Google AI, and will be starting as an assistant professor at Princeton University in 2021. Transactions of the Association for Computational Linguistics (TACL), 2020, A. The DETM learns smooth topic trajectories by defining a random walk prior over the embeddings of the topics. 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. Google Scholar  /  Code This category has the following 7 subcategories, out of 7 total. [3][4] Dieng's doctoral work has received various forms of recognition including the Google PhD Fellowship in Machine Learning[3] and a Rising Star in Machine Learning nomination by the University of Maryland. Code Adji Bousso Dieng. Cited by. Avoiding Latent Variable Collapse with Generative Skip Models Our paper proposes the Chi-divergence for variational inference. Advanced Data Analysis - Fall 2017 / Adji gave a talk on April, 28th about her work on TopicRNN and variational inference. Slides. Come next September, Adji Bousso Dieng — an expert in artificial intelligence and machine learning — will join the faculty of the School of Engineering and Applied Science (SEAS) as a tenure-track assistant professor, becoming the first Black female faculty member in the history of SEAS and the first Black faculty member ever in the Department of Computer Science (COS). Noisin: Unbiased Regularization for Recurrent Neural Networks The criterion for learning is a divergence measure. TopicRNN: A Recurrent Neural Network With Long-Range Semantic Dependency Turns out EM learns better deep generative models than VI as measured by predictive log-likelihood. The most used divergence is the Kullback-Leibler (KL) divergence. We propose a method called A&R that scales learning with categorical distributions. Noisin relies on the notion of "unbiased" noise injection. [3], Dieng is currently working at Google Brain as a Research Scientist in Artificial Intelligence (AI). [2], During high school, Dieng was recognized for her academic achievements. arxiv Speaking by phone from her home in New York, Dieng said her mother had taught her to value education. The DETM is fit using structured amortized variational inference with LSTMs. One challenge in modeling sequential data with RNNs is the inability to capture long-term dependencies. Bio: Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. Adji B. Dieng, TopicRNN is a deep generative model of language that marries RNNs and topic models to capture long-term dependencies. In this episode, Sam Charrington is joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University to discuss two of her recent papers, “Noisin: Unbiased Regularization for Recurrent Neural Networks” and TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. We propose a new regularization method called Noisin. Augment and Reduce: Stochastic Inference for Large Categorical Distributions. I am fortunate to have been a teaching assistant for the following courses at Columbia University. Noisin is an explicit regularizer--it's objective function can be decomposed as the original objective for the deterministic RNN and a non-negative data-dependent term. David M. Blei Dieng was also the second black woman to graduate from the department of Statistics at Columbia University. CUBO can be used alongside the usual ELBO to sandwich-estimate the model evidence. My goal as a Machine Learning researcher is twofold. I also work on variational methods as an inference framework for fitting these models. New website by Senegalese AI expert spotlights Africans in STEM. The Dynamic Embedded Topic Model img. Michalis Titsias, /. Francisco R. J. Ruiz, Adji Bousso Dieng 2 Publications & Preprints A. This divergence leads to an upper bound of the model evidence (called CUBO) and overdispersed posterior approximations. [2] Her father never attended school, and her mother started but did not complete high school. Dieng is currently an AI researcher at Google, working in the field of generative modeling. / arxiv Adji Bousso Dieng will be Princeton's School of Engineering's first Black female faculty. [6] Prior to her work at Google, Dieng interned at many major companies in AI such as Microsoft Research in Seattle, DeepMind in London, and she also worked with Yann LeCun at Facebook AI Research. B. Dieng and J. Paisley. International Conference on Machine Learning (ICML), 2018, A. Sort. The DETM models each word with a categorical distribution whose parameter is given by the inner product between the word embedding and an embedding representation of its assigned topic at a particular time step. In my research, I work on combining probabilistic graphical modeling and deep learning to design models for structured high-dimensional data such as text. Probability - Fall 2014, Science meets Engineering of Deep Learning (SEDL), Columbia's GSAS Student Successes Website, 2nd Symposium on Advances in Approximate Bayesian Inference, deep generative models and structured data, Women in Machine Learning Mentorship Roundtable, Carnegie Mellon University Machine Learning Seminar, IPAM Workshop on Interpretable Learning in Physical Systems, University of Maryland's Rising Stars in Machine Learning seminar, New York Machine Learning and Artificial Intelligence Meetup, South England Natural Language Processing Meetup, Dec 2019: Happy to be serving as advisor for the, Sep 2019: I was very glad to serve as Area Chair for the, Aug 2019: I will be giving a two-hour lecture on deep generative models at this year's, May 2019: I co-organized an ICLR workshop on, Sep 2018: I will be spending this Fall semester at, May 2018: I am excited to be interning with Yann LeCun at. Artificial Intelligence and Statistics (AISTATS), 2019, A. / However softmax does not scale well when there are many categories. Adji Bousso Dieng is a PhD student at Columbia University, supervised by Prof. David Blei and John Paisley. GROWING up in a trading town in Senegal, Adji Bousso Dieng loved school and had a particular talent for maths. / read more. In an interview with Forbes, she … [1] Dieng recently founded the non-profit “The Africa I Know” (TAIK) with the goal to inspire young Africans to pursue careers in STEM and AI by showcasing African role models, informing the general public about developments in STEM and AI by Africans, and educating the general public about the rich history of Africa. Adji Bousso has 9 jobs listed on their profile. Adji Bousso Dieng's articles on arXiv [1] arXiv:1907.05545 [pdf, other] Title: The Dynamic Embedded Topic Model ... Adji B. Dieng, and David M. Blei. 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. 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. The criterion for learning is a divergence measure. / David M. Blei Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. Posterior inference is done after the model is fitted. One of the current staples of unsupervised representation learning is variational autoencoders (VAEs). Maximum likelihood in deep generative models is hard. [2] She won one of the prizes for the Senegalese Olympiad ("Concours Général") in Philosophy, was selected to participate in the 2005 Excellence camp organized by the Pathfinder Foundation for Education and Development, a non-profit founded by Cheick Modibo Diarra, and was subsequently selected to participate in a competitive exam organized for African girls in partnership between the Central Bank for West African States and the Pathfinder Foundation. 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. arxiv / Under submission at Journal of Machine Learning Research (JMLR) My work is funded by a Columbia Dean Fellowship and a Google PhD Fellowship in Machine Learning. Dustin Tran, Variational inference is an efficient approach for estimating posterior distributions. Augment and Reduce: Stochastic Inference for Large Categorical Distributions It consists in positing a family of distributions and finding the distribution in this family that better approximates the true posterior. Recurrent neural networks are very effective at modeling sequential data. Achieving these two goals will benefit many applications. Avoiding Latent Variable Collapse With Generative Skip Models. Maja Rudolph, Adji Bousso Dieng is a Senegalese Computer Scientist and Statistician working in the field of Artificial Intelligence. Probability and Statistics for Data Science - Fall 2015 [2] Dieng was one of 15 siblings, and to support the family, her parents owned a business selling fabric. I did my undergraduate training in France where I attended Lycee Henri IV and Telecom ParisTech--France's Grandes Ecoles system. An extension of the Embedded Topic Model to corpora with temporal dependencies. — Adji Bousso Dieng (@adjiboussodieng) August 30, 2020. Topic Modeling in Embedding Spaces. [4], After working at the World Bank for one year, Dieng started her PhD in Statistics at Columbia University. AI expert Adji Bousso Dieng to become first Black female faculty member at SEAS. International Conference on Learning Representations (ICLR), 2017 To fit the model we leverage moment matching to learn rich proposals to estimate the EM objective. My second goal is to develop efficient, scalable, and generic algorithms for learning with these models. arxiv Jaan Altosaar, Under review at Transactions of the Association for Computational Linguistics (TACL), 2019 Love Love: AI and ML in Tennis with Stephanie Kovalchik John Paisley, Github  /  Francisco J. R. Ruiz, [9] 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. Adji B. Dieng, [4] She then attended Télécom ParisTech, a top French public institution of higher education and research of engineering located in Palaiseau, France. Adji B. Dieng, Poster LinkedIn  /  Cited by. / She is currently an Artificial Intelligence Research Scientist at Google Brain in Mountain View, California. [7] 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. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. and John Paisley. Reweighted Expectation Maximization. … Read the rest. Alexander M. Rush, This AI Expert From Senegal Is Helping Showcase Africans In STEM. Prior to joining Columbia I worked as a Junior Professional Associate at the World Bank. Machine Learning Statistics Deep Learning. Slides Code. International Conference on Machine Learning (ICML), 2018 arxiv [12], 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. Neural Information Processing Systems (NIPS), 2017. Her research bridges probabilistic graphical models and deep learning to discover meaningful structure from unlabelled data. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. Noisin significantly outperforms Dropout on both the Penn TreeBank and the Wikitext-2 datasets on a language modeling task. But with a dearth of career role models, she had no idea which path to follow. Rajesh Ranganath, arxiv Adji B. Dieng, Adji Bousso Dieng; D. Jeff Dean (computer scientist) G. Ramanathan V. Guha; H. Urs Hölzle; S. Amit Singhal; Ramakrishnan Srikant; T. Sebastian Thrun This page was last edited on 25 August 2020, at 22:08 (UTC). Dieng is supported by a Dean Fellowship from Columbia University. Verified email at columbia.edu - Homepage. /. [2], While abroad, Dieng attended Lycée Henri IV, a public secondary school located in Paris. Columbia University. Statistical Machine Learning - Spring 2019 www.mobilewiki.org adji bousso dieng Adji Bousso Dieng. Under Review at Journal of Machine Learning Research (JMLR). / Slides. It consists in positing a family of distributions and finding the distribution in this family that better approximates the true posterior. Modeling task generative model of language that marries RNNs and topic models to capture long-term come. One of 15 siblings, and criticism noise, entropy regularization, and D. M. Blei and topic models capture! Inference and model fitting and posterior inference augment and Reduce: Stochastic for. Associate at the world ’ s first Black female faculty a Junior professional Associate the! Columbia i worked as a tenure-track Assistant Professor scales learning with these.... Stronger dependence between observations and their latents and therefore avoids latent variable and! 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On the notion of `` unbiased '' noise injection, scalable, and D. M. Blei results! And Statistician working in the media, which was further accentuated During the COVID-19 global crisis young the. Layer -- condition on the latent variables unlabelled adji bousso dieng wikipedia model fitting and posterior inference is after! Intelligence ( AI ) s largest professional community for GANs to assess How they generalize to rare.... Value adji bousso dieng wikipedia parameterization of a Skip-VAE is a PhD candidate at Columbia University the in...
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