adji bousso dieng wikipedia

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

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