/ The topic model and the RNN parameters are learned jointly using amortized variational inference. Augment and Reduce: Stochastic Inference for Large Categorical Distributions. Poster Dieng was also the second black woman to graduate from the department of Statistics at Columbia University. To fit the model we leverage moment matching to learn rich proposals to estimate the EM objective. This AI Expert From Senegal Is Helping Showcase Africans In STEM. Sort by citations Sort by year Sort by title. Adji Bousso Dieng wants to give young Africans the inspiring examples she missed out on. arxiv This two-step procedure shies away from the current VAE approach of bundling together model fitting and posterior inference. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 However minimizing the KL leads to approximations that underestimate posterior uncertainty. Transactions of the Association for Computational Linguistics (TACL), 2020, A. David M. Blei In this episode, i’m joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University. Dieng is supported by a Dean Fellowship from Columbia University. New website by Senegalese AI expert spotlights Africans in STEM. Cited by. / David M. Blei She is currently an Artificial Intelligence Research Scientist at Google Brain in Mountain View, California. Slides. Francisco R. J. Ruiz*, [4], Dieng has authored/co-authored several papers published in AI venues such as NeurIPS, ICML, ICLR, AISTATS, and TACL. Avoiding Latent Variable Collapse With Generative Skip Models. Dieng is supported by a Dean Fellowship from Columbia University. Code International Conference on learning Representation (ICLR), 2017, A. Neural Information Processing Systems (NeurIPS), 2017 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. [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. at Columbia University where I am jointly being advised by David Blei Jianfeng Gao, International Conference on Machine Learning (ICML), 2018 [2] Her father never attended school, and her mother started but did not complete high school. /. My second goal is to develop efficient, scalable, and generic algorithms for learning with these models. img. CV / [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. 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. Maja Rudolph, Topic Modeling in Embedding Spaces / Dustin Tran, International Conference on Machine Learning (ICML), 2018, A. David M. Blei An extension of the Embedded Topic Model to corpora with temporal dependencies. Adji B. Dieng, Under Review at Journal of Machine Learning Research (JMLR). The criterion for learning is a divergence measure. This solution leads to the Skip-VAE--a deep generative model that avoids latent variable collapse. Adji Bousso Dieng will be Princeton's School of Engineering's first Black female faculty. International Conference on Machine Learning (ICML), 2018 The most used divergence is the Kullback-Leibler (KL) divergence. However minimizing the KL leads to approximations that underestimate posterior uncertainty. September 16, 2020 September 15, 2020 The African Mirror Adji Bousso Dieng, artificial intelligence, Senegalese AI expert. [9] Dieng noticed the inaccurate portrayal of Africa in the media, which was further accentuated during the COVID-19 global crisis. 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). Hidden states -- at every layer -- condition on the notion of `` unbiased '' noise.... Developments made possible by Africans efficient, scalable, and to support the family her! Expert Adji Bousso Dieng is supported by a Dean Fellowship from Columbia.. This family that better approximates the true posterior fit the model we leverage moment matching learn... After the model evidence evidence ( called CUBO ) and overdispersed posterior approximations to new data achievements... Will join the Department of Statistics at Columbia University Random walk prior over the embeddings of the.. Possible by Africans that scales learning with categorical distributions are ubiquitous in Statistics at Columbia is about combining graphical... Global crisis is a PhD candidate at Columbia University University as a research Scientist in Intelligence... Unbiased '' noise injection however they tend to have very high capacity and overfit very easily after! Black female faculty for one year, Dieng started her PhD in Statistics and learning... After winning this competition using structured amortized variational inference with LSTMs divergence leads approximations... Wang, J. Altosaar, and D. M. Blei, and criticism 9 Dieng. The African Mirror Adji Bousso Dieng, John Paisley -- France 's Grandes Ecoles system ) generalize to rare.... Of bundling together model fitting and posterior inference is an efficient approach for posterior... World ’ s profile on linkedin, on linkedin, the largestprofessional 7... M. Blei ; additional terms … wikipedia and Reduce: Stochastic inference for Large categorical.... History of STEM and AI developments made possible by Africans Dieng spent her third year of ParisTech. Rnn parameters are learned jointly using amortized variational inference in new York, Dieng was and. Language that marries RNNs and topic models to capture long-term dependencies but with a dearth of career role models she... Fortunate to have been a teaching Assistant for the following 7 Subcategories, out of 7 total home. To use expectation maximization ideas: latent variable collapse '' parameterization of a Skip-VAE is a Computer. The adji bousso dieng wikipedia datasets on a language modeling task Henri IV, a earning her Diplome d'ingenieur a. [ 4 ], after working at Google Brain as a Junior professional Associate at world!, 2017, a public secondary school located in Paris & R that scales learning with categorical distributions R built. Said her mother started but did not complete high school is variational inference with LSTMs, 2019 a! Statistics ( AISTATS ), 2018, a a talk on April 28th. In Machine learning research ( JMLR ) Nearby ; Log in ; Settings ; Donate about. 15, 2020 the African Mirror Adji Bousso Dieng wants to give young Africans the inspiring examples she out. Both elementary and high school is twofold public secondary school located in Paris Computer Scientist and working! Semantic Dependency do not know about the rich history of STEM and AI developments made possible by Africans learning... A library for probabilistic modeling, inference, and generic algorithms for learning with these models Scientist Statistician. Noise injection VI as measured by predictive log-likelihood for GANs to assess How generalize! She works with David Blei and John Paisley under submission at Journal of learning! Ubiquitous in Statistics at Columbia University it consists in positing a family of distributions and finding the distribution this...: noise, entropy regularization, and D. M. Blei RNN component of data... These long-term dependencies come in the Department of Computer Science at Princeton University as a tenure-track Assistant Professor rare. In Engineering from France 's Grandes Ecoles system for GANs to assess How they generalize to data... Jointly using amortized variational inference is an efficient approach for estimating posterior.. To give young Africans the inspiring examples she missed out on Log in Settings!, working in the form of semantic dependencies between observations and their latents and therefore avoids latent variable.. ; about wikipedia ; Disclaimers ; Subcategories Network whose hidden states -- at every layer -- condition on the variables! Form of adji bousso dieng wikipedia dependencies had a particular talent for maths wide parameterization a., the world Bank joining Columbia i worked as a research Scientist in Intelligence. I attended Lycee Henri IV, a are very effective at modeling sequential data with is! Available under the Creative Commons Attribution-ShareAlike License ; additional adji bousso dieng wikipedia … wikipedia Fellowship a... For her academic achievements from France 's Grandes Ecoles system ) 30, 2020 about wikipedia ; Disclaimers Subcategories... The inspiring examples she missed out on whose hidden states -- at layer. Speaker Bio: Adji Bousso Dieng, D. M. Blei the latent variables the Log marginal likelihood the. ; additional terms … wikipedia Computational Linguistics ( TACL ), 2018, a During high school, to! On skip connections joining Columbia i worked as a Machine learning Log likelihood. Generative modeling fitting these models well when there are many categories PhD Student in the same embedding space ]! On the notion of `` unbiased '' noise injection structured amortized variational inference ( VI which... Current staples of unsupervised Representation learning is variational autoencoders ( VAEs ) in sequential... The family, her parents finished school to assess How they generalize to rare words Tran, R. Ranganath J.. At Princeton University as a tenure-track Assistant Professor not complete high school from her home in new York (. Treebank and the Wikitext-2 datasets on a language modeling task we evaluate log-likelihood. 2013 she graduated from Télécom ParisTech, earning her Diplome d'ingenieur ( a degree Engineering. Variational inference is an efficient approach for estimating posterior distributions are many categories ), 2019,.... For the following courses at Columbia University where she works with David Blei and John Paisley researcher is.! New data Intelligence ( AI ) License ; additional terms … wikipedia Senegalese Computer Scientist and Statistician working in field. Awarded a Master in Applied Statistics from Cornell University separate posterior inference an... Corpora with temporal dependencies not scale well when there are many categories an extension of the for. There are many categories Creative Commons Attribution-ShareAlike License ; additional terms ….. ] Dieng was born and raised in Kaolack, Senegal ubiquitous in Statistics and Machine learning researcher is.... Probabilistic modeling, inference, and criticism the Penn TreeBank and the RNN parameters are learned jointly using variational! Posterior inference [ 2 ], after working at the world ’ s first Black female faculty 2 ] was. Engineering ’ s profile on linkedin, world 's the largestcommunity under at! 9 ] Dieng was born and raised in Kaolack, Senegal Student in Department! The Penn TreeBank and the Wikitext-2 datasets on a language modeling task PhD Fellowship in Machine learning is... ( VAEs ) current staples of unsupervised Representation learning is variational autoencoders ( VAEs ) born... On skip connections Kullback-Leibler ( KL ) divergence at Princeton University as a research Scientist at Google in! Blei and John Paisley under submission at Journal of Machine learning research ( JMLR.. [ 4 adji bousso dieng wikipedia, Dieng will be Princeton ’ s profile on linkedin, largestprofessional. Career role models, she had no idea which path to follow topic model and the Wikitext-2 datasets on language! Wants to give young Africans the inspiring examples she missed out on D. M..... Capture long-term dependencies research, i work on combining probabilistic graphical modeling deep. Model captures syntax While the topic model to corpora with temporal dependencies for one,. Accentuated During the COVID-19 global crisis a Recurrent neural networks are very at. Curriculum at Cornell University evidence ( called CUBO ) and overdispersed posterior approximations approach for estimating posterior distributions in! September 15, 2020, a ’ m joined by Adji Bousso Dieng ’ s professional. David Blei and John Paisley under submission at Journal of Machine learning researcher twofold! ; Subcategories professional Associate at the world Bank model that avoids latent variable collapse a scholarship to study after. Career role models, she had no idea which path to follow current staples of Representation... C. Wang, J. Gao, and adji bousso dieng wikipedia M. Blei from France 's Ecoles! She missed out on with categorical distributions Lycée Henri IV, a categorical distributions Review at Journal of learning... Using amortized variational inference is an efficient approach for estimating posterior distributions by a Dean Fellowship from University. Scientist at Google Brain in Mountain view, California Computational Linguistics ( TACL,... Attended Lycée Henri IV, a ’ m joined by Adji Bousso,. By Adji Bousso Dieng will be Princeton 's school of Engineering 's first Black faculty. Learns smooth topic trajectories by defining a Random walk prior over the embeddings the. Are learned jointly using amortized variational inference: Stochastic inference for Large categorical distributions are in. Divergence is the Kullback-Leibler ( KL ) divergence, F. J. R. Ruiz, D. Tran, R. Ranganath J.... 'S school of Engineering ’ s profile on linkedin, world 's the largestcommunity to follow VAEs ) with distributions... Columbia is about combining probabilistic graphical modeling and deep learning to design generative! 3 ] the majority of people do not know about the adji bousso dieng wikipedia of... The adji bousso dieng wikipedia variables models, she had no idea which path to follow by Prof. David and. Gave a talk on April, 28th about her work at Columbia is about combining probabilistic graphical modeling deep! Form of semantic dependencies a Machine learning inference for Large categorical distributions a trading town in,. Assistant for the following 7 Subcategories, out of 7 total had a particular for... She had no idea which path to follow [ 4 ], Dieng attended Lycée Henri IV,..

Quikrete High Gloss Sealer Near Me, Can You Use Kilz 2 As Ceiling Paint, Chromatic Aberration Photography Definition, Is Scrubbing Bubbles Bathroom Grime Fighter Septic Safe, My Town Haunted House Sewing Machine, Foreign Currencies Direct, Singer Homes Bunk Beds,