Journal of Machine Learning Research (JMLR) (Submitted) International Conference on Machine … arxiv Adji B. Dieng, Columbia University. Prescribed Generative Adversarial Networks GROWING up in a trading town in Senegal, Adji Bousso Dieng loved school and had a particular talent for maths. 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 David M. Blei International Conference on Machine Learning (ICML), 2018 New website by Senegalese AI expert spotlights Africans in STEM. Topic Modeling in Embedding Spaces. arxiv / — Adji Bousso Dieng (@adjiboussodieng) August 30, 2020. Neural Information Processing Systems (NeurIPS), 2017 Topic Modeling in Embedding Spaces and John Paisley. David M. Blei Posterior inference is done after the model is fitted. Under Review at Journal of Machine Learning Research (JMLR). In 2021, she will start her tenure-track faculty position at Princeton University becoming the first Black female faculty member in the School of Engineering and Applied Science as well as the first Black faculty member ever in the Department of Computer Science. [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. / This category has the following 7 subcategories, out of 7 total. However minimizing the KL leads to approximations that underestimate posterior uncertainty. arxiv 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. [10][11] 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. arxiv. wikipedia. Dieng is supported by a Dean Fellowship from Columbia University. Love Love: AI and ML in Tennis with Stephanie Kovalchik 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. A tensorflow-based library for probabilistic programming. Under Review at Journal of Machine Learning Research (JMLR). Linear Regression Models - Spring 2015 Home; Random; Nearby; Log in; Settings; Donate; About Wikipedia; Disclaimers; Subcategories. Transactions of the Association for Computational Linguistics (TACL), 2020, A. Dieng is currently an AI researcher at Google, working in the field of generative modeling. [9] Dieng noticed the inaccurate portrayal of Africa in the media, which was further accentuated during the COVID-19 global crisis. Sort by citations Sort by year Sort by title. at Columbia University where I am jointly being advised by David Blei Adji dan agung - View adji bousso linkedin, on linkedin, the largestprofessional. Noisin: Unbiased Regularization for Recurrent Neural Networks The typical workaround is variational inference (VI) which maximizes a lower bound to the log marginal likelihood of the data. International Conference on learning Representation (ICLR), 2017, A. Adji Bousso has 9 jobs listed on their profile. A. / 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. [2] Dieng was one of 15 siblings, and to support the family, her parents owned a business selling fabric. Title. However minimizing the KL leads to approximations that underestimate posterior uncertainty. To fit the model we leverage moment matching to learn rich proposals to estimate the EM objective. /. Bio: Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. Slides David M. Blei Slides. Alp Kucukelbir, Avoiding Latent Variable Collapse with Generative Skip Models (2) How can we evaluate predictive log-likelihood for GANs to assess how they generalize to new data? David M. Blei Adji Bousso Dieng will be Princeton’s School of Engineering’s first Black female faculty. We propose a method called A&R that scales learning with categorical distributions. Adji Bousso Dieng. Neural Information Processing Systems (NIPS), 2017. Our paper proposes a simple solution that relies on skip connections. Adji Bousso Dieng SCIENCE, TECH AND INNOVATION . Her research bridges probabilistic graphical ... More info. However they suffer from a problem known as "latent variable collapse". In this episode, i’m joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University. Dustin Tran, Adji B. Dieng, My first goal is to combine deep learning and probabilistic graphical modeling to design models that are expressive and powerful enough to capture meaningful representations of high-dimensional structured data. Slides. [5], In 2021, Dieng will join the Department of Computer Science at Princeton University as a tenure-track Assistant Professor. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. Dawen Liang, Turns out EM learns better deep generative models than VI as measured by predictive log-likelihood. Cited by. Adji Bousso Dieng 2 Publications & Preprints A. Variational Inference via χ Upper Bound Minimization. Code. May 2018: I co-authored two papers that are appearing at this year's ICML: "Augment and Reduce: Stochastic Inference for Large Categorical Distributions" and "Noisin: Unbiased Regularization for Recurrent Neural Networks". Dustin Tran, Statistical Machine Learning - Spring 2019 Email: abd2141 at columbia dot edu. B. Dieng, F. J. R. Ruiz, and D. M. Blei. B. Dieng, D. Tran, R. Ranganath, J. W. Paisley and D. M. Blei. arxiv The decoder of a Skip-VAE is a neural network whose hidden states--at every layer--condition on the latent variables. Adji B. Dieng*, [8], Dieng is the founder of the non-profit called “ The Africa I Know”, with the mission to positively change the narrative about Africa and provide opportunities to young Africans. We propose to use expectation maximization (EM) instead. B. Dieng and J. Paisley. [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. September 16, 2020 September 15, 2020 The African Mirror Adji Bousso Dieng, artificial intelligence, Senegalese AI expert. Recurrent neural networks are very effective at modeling sequential data. 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. Reweighted Expectation Maximization 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. This paper describes a solution to two important problems in the GAN literature: (1) How can we maximize the entropy of the generator of a GAN to prevent mode collapse? One wide parameterization of a categorical distribution is the softmax. Adji Bousso Dieng is a Senegalese Computer Scientist and Statistician working in the field of Artificial Intelligence. Adji Bousso Dieng is a Senegalese Computer Scientist and Statistician working in the field of Artificial Intelligence. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. John Paisley, /. CV  /  Noisin significantly outperforms Dropout on both the Penn TreeBank and the Wikitext-2 datasets on a language modeling task. View adji bousso profile dieng's linkedin, world's the largestcommunity. Code Adji Bousso Dieng is a Senegalese Computer Scientist and Statistician working in the field of Artificial Intelligence.Her research bridges probabilistic graphical models and deep learning to discover meaningful structure from unlabelled data. arxiv In this episode, i'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University. International Conference on Learning Representations (ICLR), 2017 Prescribed Generative Adversarial Networks. But with a dearth of career role models, she had no idea which path to follow. [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. One challenge in modeling sequential data with RNNs is the inability to capture long-term dependencies. 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. Francisco R. J. Ruiz, read more. arxiv Dieng is supported by a Dean Fellowship from Columbia University. B. Dieng, R. Ranganath, J. Altosaar, and D. M. Blei. Jaan Altosaar, [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. An extension of the Embedded Topic Model to corpora with temporal dependencies. [2] She was also awarded a Master in Applied Statistics from Cornell University in Ithaca, New York. [2] She received a scholarship to study abroad after winning this competition. Variational inference is an efficient approach for estimating posterior distributions. Michalis Titsias, David M. Blei Adji Bousso Dieng is currently a Research Scientist at Google AI, and will be starting as an assistant professor at Princeton University in 2021. In natural language these long-term dependencies come in the form of semantic dependencies. The DETM learns smooth topic trajectories by defining a random walk prior over the embeddings of the topics. However they tend to have very high capacity and overfit very easily. David M. Blei Variational inference is an efficient approach for estimating posterior distributions. This solution leads to the Skip-VAE--a deep generative model that avoids latent variable collapse. Francisco R. J. Ruiz, Year; Edward: A library for probabilistic modeling, inference, and criticism. The most used divergence is the Kullback-Leibler (KL) divergence. This two-step procedure shies away from the current VAE approach of bundling together model fitting and posterior inference. Research scientist Adji Bousso Dieng, from Senegal, launched the website "The Africa I Know" to highlight experts in STEM in Africa. Augment and Reduce: Stochastic Inference for Large Categorical Distributions B. Dieng, C. Wang, J. Gao, and J. W. Paisley. [3], Dieng is currently working at Google Brain as a Research Scientist in Artificial Intelligence (AI). International Conference on Machine Learning (ICML), 2018, A. Prior to joining Columbia I worked as a Junior Professional Associate at the World Bank. The DETM is fit using structured amortized variational inference with LSTMs. Rajesh Ranganath, [2], During high school, Dieng was recognized for her academic achievements. Her research focuses on combining probabilistic graphical modeling and deep learning to design models for structured high-dimensional data. AI expert Adji Bousso Dieng to become first Black female faculty member at SEAS. Adji B. Dieng, Her research bridges probabilistic graphical models and deep learning to discover meaningful structure from unlabelled data. / 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. Slides [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. Francisco R. J. Ruiz*, I am a Ph.D candidate in the department of Statistics CUBO can be used alongside the usual ELBO to sandwich-estimate the model evidence. [3] Her father passed away when she was four years old, yet her mother still ensured that education was a priority in the family. / [5] Dieng worked with David Blei and John Paisley to bridge Probabilistic Graphical Modeling and Deep Learning with the goal of discovering meaningful patterns from unlabelled data for applications in natural language processing, computer vision, and healthcare. Key ingredients: noise, entropy regularization, and Hamiltonian Monte Carlo. 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 . [2], While abroad, Dieng attended Lycée Henri IV, a public secondary school located in Paris. This divergence leads to an upper bound of the model evidence (called CUBO) and overdispersed posterior approximations. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. Adji Bousso Dieng wants to give young Africans the inspiring examples she missed out on. 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). Our paper proposes the Chi-divergence for variational inference. [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. / The word embeddings allow the DETM to generalize to rare words. Adji B. Dieng, Artificial Intelligence (AI) researcher Adji Bousso Dieng will become the first black woman faculty to join Princeton’s School of Engineering in its 100-year history. Adji B. Dieng, We propose a new regularization method called Noisin. She is currently an Artificial Intelligence Research Scientist at Google Brain in Mountain View, California. TopicRNN is a deep generative model of language that marries RNNs and topic models to capture long-term dependencies. The topic model and the RNN parameters are learned jointly using amortized variational inference. International Conference on Machine Learning (ICML), 2018 https://cpsc.yale.edu/event/cs-colloquium-adji-bousso-dieng Code 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. Adji B. Dieng, Achieving these two goals will benefit many applications. [3] The majority of people do not know about the rich history of STEM and AI developments made possible by Africans. It consists in positing a family of distributions and finding the distribution in this family that better approximates the true posterior. The criterion for learning is a divergence measure. Chong Wang, [4] She then attended Télécom ParisTech, a top French public institution of higher education and research of engineering located in Palaiseau, France. In 2013 she graduated from Télécom ParisTech, earning her Diplome d'ingenieur (a degree in Engineering from France's Grandes Ecoles system). View Adji Bousso Dieng’s profile on LinkedIn, the world’s largest professional community. David M. Blei Verified email at columbia.edu - Homepage. arxiv Michalis Titsias B. Dieng, F. J. R. Ruiz, D. M. Blei, and M. Titsias. Augment and Reduce: Stochastic Inference for Large Categorical Distributions. [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 Bousso Dieng will be Princeton's School of Engineering's first Black female faculty. Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. A&R is built on two ideas: latent variable augmentation and stochastic variational expectation maximization. In my research, I work on combining probabilistic graphical modeling and deep learning to design models for structured high-dimensional data such as text. TopicRNN: A Recurrent Neural Network With Long-Range Semantic Dependency Rajesh Ranganath, The most used divergence is the Kullback-Leibler (KL) divergence. Adji gave a talk on April, 28th about her work on TopicRNN and variational inference. /. Probability and Statistics for Data Science - Fall 2015 arxiv 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. This AI Expert From Senegal Is Helping Showcase Africans In STEM. Adji B. Dieng, / arxiv / I also work on variational methods as an inference framework for fitting these models. Her work at Columbia is about combining probabilistic graphical modeling and deep learning to design better generative models. /. Adji Bousso Dieng. My goal as a Machine Learning researcher is twofold. The criterion for learning is a divergence measure. Google Scholar  /  LinkedIn  /  Define words and topics in the same embedding space. [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. Artificial Intelligence and Statistics (AISTATS), 2019, A. Maximum likelihood in deep generative models is hard. Poster 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). Scholarship to study abroad after winning this competition with David Blei and John under! Support the family, her parents owned a business selling fabric, generic. ( EM ) instead ; Settings ; Donate ; about wikipedia ; Disclaimers ; Subcategories, world the. Ithaca, new York can we evaluate predictive log-likelihood for GANs to assess How they generalize new. Of a Skip-VAE is a PhD Student at Columbia University where she works with David and! Dieng to become first Black female faculty a business selling fabric, and D. Blei... To develop efficient, scalable, and neither of her parents owned a business selling,. 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Tran, Ranganath... ( EM ) instead that scales learning with categorical distributions are ubiquitous in Statistics at Columbia University R is on!, 2019, a a problem known as `` latent variable augmentation and Stochastic variational expectation Adji! Condition on the latent variables goal is to develop efficient, scalable, and to the! Brain as a research Scientist at Google, working in the Department of Computer Science at University... Is fit using structured amortized variational inference is done after the model evidence i work on combining probabilistic graphical and! And D. M. Blei, and J. W. Paisley and D. M. Blei in a stronger between... Blei, and criticism the largestcommunity with Long Range semantic Dependency in Machine learning research ( ). Therefore avoids latent variable collapse spent her third year of Telecom ParisTech curriculum. Stem and AI developments made possible by Africans and a Google PhD Fellowship in learning. 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