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10 Apr 2024: Search. Umang Bhatt. Umang Bhatt. Umang is a PhD student in University of Cambridge’s Machine Learning Group supervised by Adrian Weller. He completed a joint bachelors-masters in Electrical and Computer Engineering at Carnegie Mellon University,

10 Apr 2024: Search. Vihari Piratla. Copyright -Published with Wowchemy — the free, open source website builder that empowers creators. https://mlg.eng.cam.ac.uk/. Cite.

10 Apr 2024: Search. Austin Tripp. Austin is a PhD student in the Cambridge Machine Learning group, researching machine learning with a focus on scientific applications (especially chemistry and materials). He is supervised by José Miguel Hernández-Lobato and

10 Apr 2024: Search. Jonathan So. Jonathan is a PhD student in the machine learning group under the supervision of Richard Turner, and is funded by the Harding Distinguished Scholarship Programme. After graduating from the University of Kent with a BSc in

10 Apr 2024: Search. Chaochao Lu. Chaochao Lu is a PhD student of Machine Learning Group at the University of Cambridge, where he is co-supervised by Prof. Zoubin Ghahramani and Prof. José Miguel Hernández-Lobato, advised by Prof. Carl Edward Rasmussen, and

10 Apr 2024: Search. Adrian Weller. Adrian Weller joined the machine learning group in October 2014, following a PhD in computer science (machine learning) with Prof Tony Jebara at Columbia University. His research has focused on methods for inference in

10 Apr 2024: Search. John Bradshaw. John Bradshaw graduated with a Master’s of Engineering from the University of Cambridge in 2015. After working for a year in a startup that applied deep learning to industrial problems he joined the group as a PhD student in

10 Apr 2024: Search. Marton Havasi. Marton has received his BA in Computer Science in 2016 and his MPhil in Machine Learning, Speech and Language Technology in 2017 from Cambridge University. He joined the group as a PhD student in October 2017. He is supervised

10 Apr 2024: Search. Elre Oldewage. Elre joined the PhD program in October 2018. She is supervised by Richard Turner and advised by Adrian Weller. She previously studied at the University of Pretoria, South Africa, where she completed her BSc, BSc(Hons) and MSc

10 Apr 2024: Search. John Bronskill. John Bronskill is a postdoc in the Machine Learning Group at the University of Cambridge supervised by Richard Turner. He received a Bachelor’s degree and a Master’s degree in Electrical Engineering from the University of

10 Apr 2024: Search. Sebastian Ober. Sebastian is a PhD student in the Machine Learning Group supervised by Prof. He joined in October 2018, after completing his BA and MEng in Information and Computer Engineering at the Cambridge University Engineering

10 Apr 2024: Search. Robert Pinsler. Robert received his M.Sc. in Computer Science in 2017 from the Technical University of Darmstadt, where he worked withand Prof. Stefan Roth. He joined the group as a Ph.D. student in October 2017. He is supervised by Prof.

10 Apr 2024: Search. Yen-Chen Wu. Yen-Chen is a PhD student in the Machine Learning Group at the University of Cambridge, supervised by Prof. He received an BSc and MSc in Electrical Engineering from National Taiwan University. He is funded by Cambridge Trust.

10 Apr 2024: Search. Javier Antorán. Originally from Zaragoza, Spain, Javier graduated from the University of Zaragoza in Telecommunications Engineering (EE/CS) in 2018. Javier went on to receive an MPhil in Machine Learning and Machine Intelligence from the

10 Apr 2024: Search. Jonathan Gordon. Jonathan graduated from Cambridge University with a MPhil in Machine Learning, Speech and Language Technology in 2017. Before that he graduated with a BSc and MSc in engineering and applied statistics from the Ben-Gurion

10 Apr 2024: Search. Alexander Terenin. Copyright -Published with Wowchemy — the free, open source website builder that empowers creators. https://mlg.eng.cam.ac.uk/. Cite.

10 Apr 2024: In 2014, we launched a new and exciting initiative whereby a small group of select PhD candidates are jointly supervised at both institutions. ... p<a href="http://www.aies-conference.com/" target="_blank" rel="noopener"AAAI CONFERENCE ON ETHICS AND

19 Jun 2024: Uprooting and Rerooting Graphical Models. Adrian WellerUniversity of Cambridge. ICML, New York, NYJune 21, 2016. ... 5 / 19. Idea: Uprooting (not new). Add a new variable X0.

10 Apr 2024: Search. 9 papers with MLG authors to appear at ICLR 2020 and AISTATS 2020. Feb 23, 2020. 6 papers with MLG authors will appear at ICLR 2020 in Addis Ababa, Ethiopia. Jonathan Gordon, Wessel Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois,

19 Jun 2024: 4. New notions of fairness. M (100). W (100)M (200) W (200).

19 Jun 2024: Improvements in Step Direction. When the landscape is locally convex, we expect that the new leader term will bring the step direction closer to the global minimizer.

19 Jun 2024: Then argue as above to yield simple new proof of ZB ZClamping any variable and summing can only improve ZB. ... Note: ZBi (0) = ZB|Xi =0, ZBi (x) = ZB, ZBi (1) = ZB|Xi =1Define new function,.

19 Nov 2023: Variants of the Metropolis algorithm. Instead of proposing a new state by changing simultaneously all components ofthe state, you can concatenate different proposals changing one component at atime. ... Note, that the average is done in the log space. A

19 Jun 2024: ︸ ︷︷ ︸. new unary potentialsψ′i (xi ) ψ. ′j (xj ). (d dd d. )︸ ︷︷ ︸. constant. • This can be very powerful, allows us after pruning to end up withjust ... Though this may introduce new NMRF nodes for the unary terms.• To show

19 Jun 2024: Exponential search space, NP-hard in general. One contribution: prove that this problem is tractablefor a new class of models.

19 Nov 2023: Examples:. • cluster news stories into topics. • cluster genes by similar function. •

19 Nov 2023: b) To improve safety, new more stringent regulations require that pilots pass all five tests. ... What should the new individualfailure rate be if the overall certification probability should remain unchanged?

19 Jun 2024: 4, p.503, 2007. Y. Nishiyama. Pattern matching probabilities and paradoxes as a new variationon Penney’s coin game.

19 Nov 2023: D = {(x(1),y(1)). ,(x(N),y(N))}. where y(n) {1,. ,C} and C is the number of classes.The goal is to classify new inputs correctly (i.e. ... For example:. (x1,x2) (x1,x2,x1x2,x21,x22). Then do logistic classification using these new inputs.

10 Apr 2024: Search. FACULTY. SENIOR RESEARCHERS. POST-DOCS. GRADUATE STUDENTS. Alumni. Copyright -Published with Wowchemy — the free, open source website builder that empowers creators. https://mlg.eng.cam.ac.uk/. Cite.

10 Apr 2024: Search. Richard Turner. My research lies at the interface between computer perception (which builds artificial systems for understanding images, sounds and videos), neuroscience (which tries to understand the brain) and machine-learning (which

10 Apr 2024: Search. James Requeima. I’m a PhD student studying machine learning at the University of Cambridge in the Computational and Biological Learning Lab. My advisor is Dr. Richard Turner. I’m interested in meta-learning, neural processes, approximate

10 Apr 2024: Search. James Allingham. I am a PhD student in the Machine Learning Group at the University of Cambridge, supervised by José Miguel Hernández-Lobato, and a member of Darwin College. Before starting the PhD, I was a consultant for Wolfram Research

10 Apr 2024: Search. Vincent Stimper. I am a PhD student in the ELLIS program being supervised by Prof. José Miguel Hernández-Lobato (University of Cambridge) and Prof. Bernhard Schölkopf (Max Planck Institute for Intelligent Systems). At the moment, I am

10 Apr 2024: Search. Gergely Flamich. I am a PhD student in the Machine Learning Group supervised by José Miguel Hernández Lobato since October 2020. I am primarily interested in developing and analysing data compression algorithms and applying them to neural

10 Apr 2024: Search. Wessel Bruinsma. Hey! I am a PhD student at the Machine Learning Group at the University of Cambridge, supervised by Dr Richard Turner, and a member of Christ’s College. Previously, I was a machine learning researcher for Invenia Labs;

19 Nov 2023: x x′ x′′ x′′′. One such algorithm is called Gibbs sampling: for each component i of x in turn,sample a new value from the conditional distribution of xi given all

10 Apr 2024: Search. Erik Daxberger. Hi there, I am Erik, a PhD student in the Machine Learning Group at the University of Cambridge, supervised by José Miguel Hernández-Lobato. As a Cambridge-Tübingen fellow, I will also spend a year of my PhD at the Max

10 Apr 2024: Search. Siddharth Swaroop. Siddharth graduated with a Master’s in Engineering from the University of Cambridge in 2017. He joined the Machine Learning Group, in CBL, in October 2017 as a PhD student, supervised by Dr Richard Turner. He is funded

10 Apr 2024: Search. Runa Eschenhagen. I am a PhD student in the Machine Learning Group within the Computational and Biological Learning Lab at the University of Cambridge, supervised by Richard Turner and advised by Carl Edward Rasmussen. I am broadly

10 Apr 2024: Search. Zoubin Ghahramani. I studied Computer Science and Cognitive Science at the University of Pennsylvania and obtained my PhD from MIT in 1995. From 1995 to 1998, I was a Postdoctoral Fellow at the University of Toronto, working with Geoff Hinton

10 Apr 2024: Search. Ushnish Sengupta. I am a Marie Sklodowska-Curie Early Stage Researcher in the MAGISTER consortium which seeks to utilize machine learning to understand and predict thermoacoustic oscillations in aircraft engines or gas turbines. My job, as I

10 Apr 2024: Search. Christian Steinruecken. I am a post-doctoral researcher in machine learning, working with Prof Zoubin Ghahramani on the Automatic Statistician Project. I am a member of King’s College, at the University of Cambridge. My academic interests

10 Apr 2024: Search. Julius von Kügelgen. Originally from Hamburg, Germany, Julius studied Mathematics (MSci) at Imperial College London and Artificial Intelligence (MSc) at UPC Barcelona and TU Delft. He joined the Cambridge-Tübingen programme in October 2018

19 Nov 2023: We have introduced a new set of hidden variables zd. • How do we fit those variables?

19 Nov 2023: Now form a new model for the data by multiplying these two models and renormalizing:. ... ztrepresenting the conditional independencerelationships in this new model, P3.

10 Apr 2024: Search. Valerii Likhosherstov. I’m a PhD student supervised by Adrian Weller and advised by José Miguel Hernández-Lobato (started in October 2019, Sidney Sussex College). I am funded by the Department of Engineering and Trust Scholarship. Before

10 Apr 2024: Search. Adrià Garriga-Alonso. I am a PhD student in the Machine Learning Group at the University of Cambridge, supervised by Prof. I received an MSc in Computer Science from the University of Oxford, and a BSc in Computer Science from Universitat

19 Nov 2023: generalize from observations in the training set to new test cases(interpolation and extrapolation). •

19 Nov 2023: generalize from observations in the training set to new test cases(interpolation and extrapolation). •