Adji Bousso Dieng is a Senegalese Computer Scientist and Statistician working in the field of Artificial Intelligence. 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. I am a Ph.D candidate in the department of Statistics / It consists in positing a family of distributions and finding the distribution in this family that better approximates the true posterior. However minimizing the KL leads to approximations that underestimate posterior uncertainty. Noisin: Unbiased Regularization for Recurrent Neural Networks 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. Adji Bousso Dieng is currently a Research Scientist at Google AI, and will be starting as an assistant professor at Princeton University in 2021. Neural Information Processing Systems (NeurIPS), 2017 The resulting Embedded Topic Model (ETM) learns interpretable topics and word embeddings and is robust to large vocabularies that include rare words and stop words. Yoon Kim, Speaking by phone from her home in New York, Dieng said her mother had taught her to value education. Posterior inference is done after the model is fitted. Her work at Columbia is about combining probabilistic graphical modeling and deep learning to design better generative models. September 16, 2020 September 15, 2020 The African Mirror Adji Bousso Dieng, artificial intelligence, Senegalese AI expert. Code Adji Bousso has 9 jobs listed on their profile. [5], In 2021, Dieng will join the Department of Computer Science at Princeton University as a tenure-track Assistant Professor. Code My work is funded by a Columbia Dean Fellowship and a Google PhD Fellowship in Machine Learning. /. We propose a method called A&R that scales learning with categorical distributions. Verified email at columbia.edu - Homepage. John Paisley, Linear Regression Models - Spring 2015 [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. Slides. Prescribed Generative Adversarial Networks Noisin: Unbiased Regularization for Recurrent Neural Networks. View Adji Bousso Dieng’s profile on LinkedIn, the world’s largest professional community. Slides [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. Maximum likelihood in deep generative models is hard. Journal of Machine Learning Research (JMLR) (Submitted) / Prior to joining Columbia I worked as a Junior Professional Associate at the World Bank. Prescribed Generative Adversarial Networks. Avoiding Latent Variable Collapse with Generative Skip Models Text is available under the Creative Commons Attribution-ShareAlike License; additional terms … Alexander M. Rush, Poster and John Paisley. arxiv David M. Blei However they tend to have very high capacity and overfit very easily. arxiv The Dynamic Embedded Topic Model [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. Rajesh Ranganath, CV  /  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. AI expert Adji Bousso Dieng to become first Black female faculty member at SEAS. Research scientist Adji Bousso Dieng, from Senegal, launched the website "The Africa I Know" to highlight experts in STEM in Africa. David M. Blei, / /. In an interview with Forbes, she … The most used divergence is the Kullback-Leibler (KL) divergence. Machine Learning Statistics Deep Learning. Adji B. Dieng, Dieng was born and raised in Kaolack, Senegal. A. Reweighted Expectation Maximization Edward: A Library for Probabilistic Modeling, Inference, and Criticism Advanced Data Analysis - Fall 2017 [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. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. Cited by. 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. Define words and topics in the same embedding space. Sort by citations Sort by year Sort by title. This category has the following 7 subcategories, out of 7 total. Recent Changes. Dustin Tran, / 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. Adji Bousso Dieng 2 Publications & Preprints A. Importantly, we separate posterior inference and model fitting. Twitter  /  TopicRNN is a deep generative model of language that marries RNNs and topic models to capture long-term dependencies. Francisco R. J. Ruiz*, Chong Wang, Adji Bousso Dieng. arxiv https://cpsc.yale.edu/event/cs-colloquium-adji-bousso-dieng She is currently an Artificial Intelligence Research Scientist at Google Brain in Mountain View, California. To fit the model we leverage moment matching to learn rich proposals to estimate the EM objective. Code B. Dieng, F. J. R. Ruiz, D. M. Blei, and M. Titsias. Her research bridges probabilistic graphical models and deep learning to discover meaningful structure from unlabelled data. Francisco J. R. Ruiz, This divergence leads to an upper bound of the model evidence (called CUBO) and overdispersed posterior approximations. 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. 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 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. arxiv Year; Edward: A library for probabilistic modeling, inference, and criticism. A tensorflow-based library for probabilistic programming. [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. Dieng spent her third year of Telecom ParisTech's curriculum at Cornell University. [2], While abroad, Dieng attended Lycée Henri IV, a public secondary school located in Paris. Variational Inference via Chi Upper Bound Minimization Statistical Machine Learning - Spring 2019 Variational Inference via χ Upper Bound Minimization. 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. [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. read more. It consists in positing a family of distributions and finding the distribution in this family that better approximates the true posterior. Slides. Michalis Titsias Probability and Statistics for Data Science - Fall 2015 Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. 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. The family business was selling fabric, and neither of her parents finished school. (2) How can we evaluate predictive log-likelihood for GANs to assess how they generalize to new data? One of the current staples of unsupervised representation learning is variational autoencoders (VAEs). 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 . Our paper proposes a simple solution that relies on skip connections. Columbia University. September 16, 2020 September 15, 2020 The African Mirror Adji Bousso Dieng, artificial intelligence, Senegalese AI expert. Our paper proposes the Chi-divergence for variational inference. TopicRNN: A Recurrent Neural Network With Long-Range Semantic Dependency /. arxiv / Adji B. Dieng*, Augment and Reduce: Stochastic Inference for Large Categorical Distributions. International Conference on Machine Learning (ICML), 2018, A. This divergence leads to an upper bound of the model evidence (called CUBO) and overdispersed posterior approximations. GROWING up in a trading town in Senegal, Adji Bousso Dieng loved school and had a particular talent for maths. Statistical Methods for Finance - Spring 2016 — Adji Bousso Dieng (@adjiboussodieng) August 30, 2020. 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. Dieng is supported by a Dean Fellowship from Columbia University. Achieving these two goals will benefit many applications. My second goal is to develop efficient, scalable, and generic algorithms for learning with these models. Variational inference is an efficient approach for estimating posterior distributions. David M. Blei Categorical distributions are ubiquitous in Statistics and Machine Learning. / Code. Dieng was also the second black woman to graduate from the department of Statistics at Columbia University. 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 relies on the notion of "unbiased" noise injection. Cited by. Topic Modeling in Embedding Spaces Github  /  One challenge in modeling sequential data with RNNs is the inability to capture long-term dependencies. [4] She then attended Télécom ParisTech, a top French public institution of higher education and research of engineering located in Palaiseau, France. Adji Bousso Dieng SCIENCE, TECH AND INNOVATION . The topic model and the RNN parameters are learned jointly using amortized variational inference. This AI Expert From Senegal Is Helping Showcase Africans In STEM. arxiv Noisin significantly outperforms Dropout on both the Penn TreeBank and the Wikitext-2 datasets on a language modeling task. [2] Dieng was one of 15 siblings, and to support the family, her parents owned a business selling fabric. / arxiv LinkedIn  /  Slides Under submission at Journal of Machine Learning Research (JMLR) Jianfeng Gao, Speaker Bio: Adji Bousso Dieng is a PhD candidate at Columbia University where she works with David Blei and John Paisley. Maja Rudolph, Turns out EM learns better deep generative models than VI as measured by predictive log-likelihood. Thomas Kipf. Transactions of the Association for Computational Linguistics (TACL), 2020, A. The typical workaround is variational inference (VI) which maximizes a lower bound to the log marginal likelihood of the data. David M. Blei Reweighted Expectation Maximization. Poster New website by Senegalese AI expert spotlights Africans in STEM. One wide parameterization of a categorical distribution is the softmax. Under review at Transactions of the Association for Computational Linguistics (TACL), 2019 [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. Adji Bousso Dieng wants to give young Africans the inspiring examples she missed out on. I did my undergraduate training in France where I attended Lycee Henri IV and Telecom ParisTech--France's Grandes Ecoles system. B. Dieng, F. J. R. Ruiz, and D. M. Blei. A&R is built on two ideas: latent variable augmentation and stochastic variational expectation maximization. Under Review at Journal of Machine Learning Research (JMLR). Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. Jaan Altosaar, Dustin Tran, Adji Bousso Dieng will be Princeton’s School of Engineering’s first Black female faculty. International Conference on Learning Representations (ICLR), 2017 CUBO can be used alongside the usual ELBO to sandwich-estimate the model evidence. / [4], Dieng has authored/co-authored several papers published in AI venues such as NeurIPS, ICML, ICLR, AISTATS, and TACL. This two-step procedure shies away from the current VAE approach of bundling together model fitting and posterior inference. View adji bousso profile dieng's linkedin, world's the largestcommunity. However they suffer from a problem known as "latent variable collapse". Recurrent neural networks are very effective at modeling sequential data. International Conference on Machine Learning (ICML) (Submitted) arxiv at Columbia University where I am jointly being advised by David Blei We propose to use expectation maximization (EM) instead. /. But with a dearth of career role models, she had no idea which path to follow. 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. [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. Bio: Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. Key ingredients: noise, entropy regularization, and Hamiltonian Monte Carlo. Dieng is supported by a Dean Fellowship from Columbia University. David M. Blei [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. B. Dieng, D. Tran, R. Ranganath, J. W. Paisley and D. M. Blei. Variational inference is an efficient approach for estimating posterior distributions. Augment and Reduce: Stochastic Inference for Large Categorical Distributions International Conference on Machine Learning (ICML), 2018 David M. Blei Adji B. Dieng, [3] The majority of people do not know about the rich history of STEM and AI developments made possible by Africans. I am fortunate to have been a teaching assistant for the following courses at Columbia University. 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. B. Dieng, Y. Kim, A. M. Rush, and D. M. Blei. International Conference on learning Representation (ICLR), 2017, A. [9] Dieng noticed the inaccurate portrayal of Africa in the media, which was further accentuated during the COVID-19 global crisis. 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. B. Dieng and J. Paisley. Under Review at Journal of Machine Learning Research (JMLR). / Home; Random; Nearby; Log in; Settings; Donate; About Wikipedia; Disclaimers; Subcategories. 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. In natural language these long-term dependencies come in the form of semantic dependencies. Adji dan agung - View adji bousso linkedin, on linkedin, the largestprofessional. I also work on variational methods as an inference framework for fitting these models. This solution leads to the Skip-VAE--a deep generative model that avoids latent variable collapse. [2] Her father never attended school, and her mother started but did not complete high school. [3] Her father passed away when she was four years old, yet her mother still ensured that education was a priority in the family. [2] She received a scholarship to study abroad after winning this competition. The word embeddings allow the DETM to generalize to rare words. Adji B. Dieng, Rajesh Ranganath, The criterion for learning is a divergence measure. Articles Cited by Co-authors. Adji Bousso Dieng is a Senegalese Computer Scientist and Statistician working in the field of Artificial Intelligence. Francisco R. J. Ruiz, Dieng is currently an AI researcher at Google, working in the field of generative modeling. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Code Adji Bousso Dieng is a PhD student at Columbia University, supervised by Prof. David Blei and John Paisley. Dawen Liang, International Conference on Machine Learning (ICML), 2018 Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. David M. Blei The DETM learns smooth topic trajectories by defining a random walk prior over the embeddings of the topics. 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. The decoder of a Skip-VAE is a neural network whose hidden states--at every layer--condition on the latent variables. 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? Google Scholar  /  Adji B. Dieng, Adji B. Dieng, 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. arxiv img. B. Dieng, R. Ranganath, J. Altosaar, and D. M. Blei. www.mobilewiki.org adji bousso dieng Adji Bousso Dieng. TopicRNN: A Recurrent Neural Network with Long Range Semantic Dependency. wikipedia. … Read the rest. Email: abd2141 at columbia dot edu. My goal as a Machine Learning researcher is twofold. Title. Francisco R. J. Ruiz, International Conference on Machine … In this episode, i’m joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University. Alp Kucukelbir, 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". John Paisley, Adji B. Dieng, Love Love: AI and ML in Tennis with Stephanie Kovalchik However softmax does not scale well when there are many categories. [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. The criterion for learning is a divergence measure. / The RNN component of the model captures syntax while the topic model component captures semantic. The DETM is fit using structured amortized variational inference with LSTMs. Adji Bousso Dieng will be Princeton's School of Engineering's first Black female faculty. In this episode, i'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University. Sort. This results in a stronger dependence between observations and their latents and therefore avoids latent variable collapse. Her research bridges probabilistic graphical ... More info. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. 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). Adji B. Dieng, Neural Information Processing Systems (NIPS), 2017. Avoiding Latent Variable Collapse With Generative Skip Models. In 2013 she graduated from Télécom ParisTech, earning her Diplome d'ingenieur (a degree in Engineering from France's Grandes Ecoles system). [2] She was also awarded a Master in Applied Statistics from Cornell University in Ithaca, New York. An extension of the Embedded Topic Model to corpora with temporal dependencies. Michalis Titsias, Our paper proposes the Chi-divergence for variational inference. B. Dieng, C. Wang, J. Gao, and J. W. Paisley. The most used divergence is the Kullback-Leibler (KL) divergence. John Paisley However minimizing the KL leads to approximations that underestimate posterior uncertainty. /. Dieng is supported by a Dean Fellowship from Columbia University. David M. Blei CUBO can be used alongside the usual ELBO to sandwich-estimate the model evidence. We propose a new regularization method called Noisin. / Topic Modeling in Embedding Spaces. [3], Dieng is currently working at Google Brain as a Research Scientist in Artificial Intelligence (AI). Adji gave a talk on April, 28th about her work on TopicRNN and variational inference. Adji B. Dieng, Adji B. Dieng, Adji Bousso Dieng. Her research focuses on combining probabilistic graphical modeling and deep learning to design models for structured high-dimensional data. VI introduces an undesirable amortization gap and often causes latent variable collapse. In my research, I work on combining probabilistic graphical modeling and deep learning to design models for structured high-dimensional data such as text. Trajectories by defining a Random walk prior over the embeddings of the topics goal... Website by Senegalese AI expert Wang, J. Altosaar, and D. Blei! Talent for maths and John Paisley under submission at Journal of Machine learning researcher is.! Structure from unlabelled data that relies on skip connections [ 4 ], after working at the ’... Neural Network with Long Range semantic Dependency model of language that marries RNNs and topic models to capture dependencies. Information Processing Systems ( NIPS ), 2017 Creative Commons Attribution-ShareAlike License ; additional terms … wikipedia a tenure-track Professor! Graduated from Télécom ParisTech, earning her Diplome d'ingenieur ( a degree in Engineering France... From her home in new York i am fortunate to have been a teaching for! Learning to discover meaningful structure from unlabelled data PhD in Statistics and learning... ] her father never attended school, Dieng started her PhD in Statistics at Columbia University where she works David! Bound of the model evidence ( called CUBO ) and overdispersed posterior approximations language task! Lycee Henri IV, a where i attended Lycee Henri IV and Telecom ParisTech -- France 's Grandes system. Embedding space the model evidence ( called CUBO ) and overdispersed posterior approximations of total... Cornell University in Ithaca, new York, Dieng was also the second Black woman to graduate the... 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