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

Same Man I Was Before Lyrics, Matlab Label Rectangle, Battle Los Angeles - Trailer, King Harlequin Voice Actor Japanese, Cup Noodles Stir Fry Where To Buy, My Way Guitar Cover Limp Bizkit, Butter Biscuit Recipe South Africa, Current Trends And Issues Regarding Social Studies Materials And Resources, Give Blood For Money Uk,

Share