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  2. Carl Rasmussen’s unicycle project discussed by Herman Hauser “Big in…

    https://mlg.eng.cam.ac.uk/news/carl-rasmussens-unicycle-project-discussed-by-herman-hauser/
    3 Jul 2024: Search. Carl Rasmussen’s unicycle project discussed by Herman Hauser “Big in 2014”. Jan 15, 2014. Carl Rasmussen’s project on getting a unicycle to stand on its own using techniques from Bayesian reinforcement learning is discussed by Acorn
  3. paper8-lect0-13

    https://mlg.eng.cam.ac.uk/zoubin/p8-07/lect0.pdf
    27 Jan 2023: Some Other Example Applications • literature search: searching scientific literature, patent databases, or news articles.
  4. Document models

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/document%20models.pdf
    19 Nov 2023: categories. We have introduced a new set of hidden variables zd.• How do we fit those variables?
  5. Unsupervised Learning Markov Chain Monte Carlo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect7mcmc.pdf
    27 Jan 2023: 1) A new state is proposed by deterministically simulating a trajectory with L discretesteps from (q, p) to (q, p). ... The maximum likelihood approach minimizes the cost function log(p(D|θ)).Task: predict y(n1) given a new input x(n1) and the training
  6. Zoubin Ghahramani interviewed by BBC Radio on ‘Deep Learning’ |…

    https://mlg.eng.cam.ac.uk/news/zoubin-ghahramani-interviewed-by-bbc-radio-on-deep-learning/
    3 Jul 2024: Search. Zoubin Ghahramani interviewed by BBC Radio on ‘Deep Learning’. Jan 12, 2014. Prof. Zoubin Ghahramani speaks to BBC Radio 4 on a programme about ‘Deep Learning’. Listen to the broadcastCopyright -Published with Wowchemy — the free,
  7. Latent Dirichlet Allocation for Topic Modeling

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/lda.pdf
    19 Nov 2023: Note, that the average is done in the log space.A perplexity of g corresponds to the uncertainty associated with a die with gsides, which generates each new word.
  8. LNAI 7524 - Modelling Input Varying Correlations between Multiple…

    https://mlg.eng.cam.ac.uk/pub/pdf/WilGha12a.pdf
    13 Feb 2023: EconometricReviews 25(2), 145–175 (2006). Bae, K., Karolyi, G., Stulz, R.: A new approach to measuring financial contagion.Review of Financial Studies 16(3), 717 (2003).
  9. Zoubin Ghahramani awarded classic paper prize at ICML 2013 |…

    https://mlg.eng.cam.ac.uk/news/zoubin-ghahramani-awarded-classic-paper-prize-at-icml-2013/
    3 Jul 2024: Search. Zoubin Ghahramani awarded classic paper prize at ICML 2013. Jul 15, 2013. The 2013 Classic Paper Prize at the International Conference on Machine Learning (ICML) was won by Zoubin Ghahramani and coauthors Xiaojin Zhu and John Lafferty for
  10. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1213/lect1314.pdf
    19 Nov 2023: Note, that the average is done in the log space. A perplexity of g corresponds to the uncertainty associated with a die with gsides, which generates each new word.
  11. Sebastien Bratieres receives Yahoo Key Scientific Challenge Award |…

    https://mlg.eng.cam.ac.uk/news/sebastien-bratieres-receives-yahoo-key-scientific-challenge-award/
    3 Jul 2024: Search. Sebastien Bratieres receives Yahoo Key Scientific Challenge Award. Feb 21, 2010. Sebastien Bratieres has received a prestigious Yahoo Key Scientific Challenge Award to encourage leading, meaningful research into Internet technologies.
  12. Structured Prediction Models for Chord Transcription of Music Audio…

    https://mlg.eng.cam.ac.uk/adrian/icmla09adrian.pdf
    16 Jul 2024: Structured Prediction Models for Chord Transcription of Music Audio. Adrian Weller, Daniel Ellis, Tony Jebara Columbia University, New York, NY 10027. ... pairwise products of existing features were added as new features. Features from neighboring frames
  13. Gibbs sampling (an MCMC method) and relations to EM

    https://mlg.eng.cam.ac.uk/zoubin/SALD/week7at.pdf
    27 Jan 2023: 6. An EM “counterexample”: We are testing failure times on a new variety of hard disk. ... New York: Spring-Verlag, 2001, sections 8.5-8.6. Gibbs sampling (an MCMC method) and relations to EM.
  14. Sara Wade thesis selected as finalist for ISBA Savage Award |…

    https://mlg.eng.cam.ac.uk/news/sara-wade-thesis-selected-as-finalist-for-isba-savage-award/
    3 Jul 2024: Search. Sara Wade thesis selected as finalist for ISBA Savage Award. Oct 16, 2014. Sara Wade’s PhD Thesis “Bayesian nonparametric regression through mixture models” has been selected as a finalist for the Savage Award in the Theory & Methods
  15. What Keeps a Bayesian Awake At Night? Part 1: Day Time · Cambridge…

    https://mlg.eng.cam.ac.uk/blog/2021/03/31/what-keeps-a-bayesian-awake-at-night-part-1.html
    12 Apr 2024: So, as we kick-off this new blog, we thought we’d dig into these concerns and attempt to burst the Bayesian bubble. ... For example, inferences could inform the design of a new particle accelerator to pin down particle masses; could decide whether to
  16. Document models

    https://mlg.eng.cam.ac.uk/teaching/4f13/2122/document%20models.pdf
    19 Nov 2023: categories. We have introduced a new set of hidden variables zd.• How do we fit those variables?
  17. Document models

    https://mlg.eng.cam.ac.uk/teaching/4f13/1819/document%20models.pdf
    19 Nov 2023: categories. We have introduced a new set of hidden variables zd.• How do we fit those variables?
  18. Document models

    https://mlg.eng.cam.ac.uk/teaching/4f13/1718/document%20models.pdf
    19 Nov 2023: categories. We have introduced a new set of hidden variables zd.• How do we fit those variables?
  19. Background material crib-sheet Iain Murray , October 2003 Here ...

    https://mlg.eng.cam.ac.uk/zoubin/course04/cribsheet.pdf
    27 Jan 2023: The gradient Differentiationof this line, the derivative, is not constant, but a new function:.
  20. Background material crib-sheet Iain Murray , October 2003 Here ...

    https://mlg.eng.cam.ac.uk/zoubin/course03/cribsheet.pdf
    27 Jan 2023: The gradient Differentiationof this line, the derivative, is not constant, but a new function:.
  21. Network Ranking With Bethe Pseudomarginals Kui TangColumbia…

    https://mlg.eng.cam.ac.uk/adrian/2013_NeurIPS_DiscML_Network.pdf
    16 Jul 2024: We conclude by discussingan empirical phenomenon of critical parameter regions, with implications for new algo-rithms. ... Passonneau, A. Radeva, and L. Wu. Machine learningfor the new york city power grid.
  22. Background material crib-sheet Iain Murray , October 2003 Here ...

    https://mlg.eng.cam.ac.uk/zoubin/ml06/cribsheet.pdf
    27 Jan 2023: The gradient Differentiationof this line, the derivative, is not constant, but a new function:.
  23. Latent Dirichlet Allocation for Topic Modeling

    https://mlg.eng.cam.ac.uk/teaching/4f13/2122/lda.pdf
    19 Nov 2023: Note, that the average is done in the log space.A perplexity of g corresponds to the uncertainty associated with a die with gsides, which generates each new word.
  24. Latent Dirichlet Allocation for Topic Modeling

    https://mlg.eng.cam.ac.uk/teaching/4f13/1819/lda.pdf
    19 Nov 2023: Note, that the average is done in the log space.A perplexity of g corresponds to the uncertainty associated with a die with gsides, which generates each new word.
  25. Latent Dirichlet Allocation for Topic Modeling

    https://mlg.eng.cam.ac.uk/teaching/4f13/1718/lda.pdf
    19 Nov 2023: Note, that the average is done in the log space.A perplexity of g corresponds to the uncertainty associated with a die with gsides, which generates each new word.
  26. James Lloyd places 3rd in international data mining competition |…

    https://mlg.eng.cam.ac.uk/news/james-lloyd-places-3rd-in-international-data-mining-competition/
    3 Jul 2024: Search. James Lloyd places 3rd in international data mining competition. Nov 1, 2012. PhD student James Lloyd places third out of over 100 competitors in the Load Forecasting track of the Global Energy Forecasting Competition 2012 (GEFCom2012),
  27. Gibbs sampling (an MCMC method) and relations to EM

    https://mlg.eng.cam.ac.uk/zoubin/SALD/week6b.pdf
    27 Jan 2023: Learning. New York: Spring-Verlag, 2001, sections 8.5-8.6. Tierney, L. (1994) “Markov chains for exploring posterior distributions”.
  28. Ryan Adams, Zoubin Ghahramani win AISTATS 2010 Best Paper Award |…

    https://mlg.eng.cam.ac.uk/news/ryan-adams-zoubin-ghahramani-win-aistats-2010-best-paper-award/
    3 Jul 2024: Search. Ryan Adams, Zoubin Ghahramani win AISTATS 2010 Best Paper Award. May 21, 2010. Ryan Adams and Zoubin Ghahramani have won the AISTATS 2010 Best Paper Award for their work on learning the structure of deep, sparse graphical models. The paper
  29. t.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/MinGha03.pdf
    27 Jan 2023: Compute the moments of D & $ W # to get a new $% #. (c) Update. Re-estimate. FD by division (apply (11,12) in reverse).The input to the algorithm is -Oov-
  30. ICML-Presentation

    https://mlg.eng.cam.ac.uk/zoubin/talks/ICML-Presentation.pdf
    27 Jan 2023: New Topics (Keywords)• 29: Gaussian processes 14• 30: Bayesian methods 45• 31: Multi-task and transfer learning 23• 32: Semi-supervised learning 62• 33: Dimensionality reduction, manifolds and.
  31. Directed and Undirected Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW1-models.pdf
    16 Jul 2024: θixi). 32 / 26. Bad news for Markov networks. The global normalization constant Z (θ) kills decomposability:.
  32. 3F3: Signal and Pattern Processing Lecture 1: Introduction to ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf
    19 Nov 2023: and its goal isto learn to produce the correct output given a new input. ... 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.
  33. 12 October N+Vs layout ok

    https://mlg.eng.cam.ac.uk/zoubin/papers/NewsViews00.pdf
    27 Jan 2023: indicated that the brain region responsiblefor learning new movement dynamics couldbe the primary motor cortex. ... Finally, these results are interesting from. news and views. NATURE | VOL 407 | 12 OCTOBER 2000 | www.nature.com 683.
  34. Unsupervised Learning Sampling andMarkov Chain Monte Carlo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect7mcmc.pdf
    27 Jan 2023: 2. Accept the new state with probabilitymin(1, p(x′)/p(x));. 3. Otherwise retain the old state. ... The new state (x, v) is accepted with probability:. min(1, exp((H(v, x) H(v, x)))),.
  35. Unsupervised Learning Sampling andMarkov Chain Monte Carlo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect7mcmc.pdf
    27 Jan 2023: 2. Accept the new state with probabilitymin(1, p(x′)/p(x));. 3. Otherwise retain the old state. ... The new state (x, v) is accepted with probability:. min(1, exp((H(v, x) H(v, x)))),.
  36. Statistical Approaches to Learning and Discovery Reinforcement…

    https://mlg.eng.cam.ac.uk/zoubin/SALD/week13rl.pdf
    27 Jan 2023: This leads to an exploration vs exploitation tradeoff: act so as to visit new partsof state space or exploit already visited part of state-space?
  37. Bounding the Integrality Distance ofLP Relaxations for Structured…

    https://mlg.eng.cam.ac.uk/adrian/OPT2016_paper_3.pdf
    16 Jul 2024: 7 Discussion. We have introduced a new measure of approximation quality for LP-relaxed inference, which wecall the integrality distance. ... Approximation algorithms for the metric labeling. problem via a new linear programming formulation.
  38. Alex Davies Receives G-Research Award for Outstanding PhD Thesis |…

    https://mlg.eng.cam.ac.uk/news/alex-davies-receives-g-research-award-for-outstanding-phd-thesis/
    3 Jul 2024: His thesis, titled “Effective Implementation of Gaussian Process Regression for Machine Learning”, proposed a new framework for the implementation of Gaussian Processes which is currently used by some trading systems.
  39. 16 Jul 2024: 1 Motivation and New Measures of Process Fairness. As machine learning methods are increasingly being used in decision making scenarios that affecthuman lives, there is a growing concern about the fairness ... In contrast, our empirical analysis of the
  40. Statistical Approaches to Learning and Discovery Lecture 1:…

    https://mlg.eng.cam.ac.uk/zoubin/SALD/week1.pdf
    27 Jan 2023: and itsgoal is to learn to produce the correct output given a new input. ... to generalize). Regression: The desired outputs yi are continuous valued.The goal is to predict the output accurately for new inputs.
  41. 4F13: Machine Learning Lectures 1-2: Introduction to Machine Learning …

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lect1-2.pdf
    27 Jan 2023: and its goal isto learn to produce the correct output given a new input. ... Given data D, we learn the model parameters θ, from which we can predict new data points.
  42. Announcing the Cambridge – Tübingen PhD Fellowships in Machine…

    https://mlg.eng.cam.ac.uk/news/announcing-the-cambridge-tubingen-phd-fellowships-in-machine-learning/
    3 Jul 2024: Search. Announcing the Cambridge – Tübingen PhD Fellowships in Machine Learning. Oct 17, 2013. We are pleased to announce the Cambridge-Tübingen PhD fellowships between the University of Cambridge Machine Learning Group and the Max Planck
  43. mfa-paper.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/tr-96-1.pdf
    27 Jan 2023: Q@ = Xi 1xiE[zjxi]0 Xl 1newE[zz0jxl] = 0obtaining new Xl E[zz0jxl]0! = ... j]x0i 12hij newj E[zz0jxi;! j]new0j = 0:Substituting equation (15) for j and using the diagonal constraint on we obtain, new = 1ndiag8<:Xij hij xi newj E[zjxi;!
  44. Richard Turner’s work featured in Wired Magazine and on BBC Radio |…

    https://mlg.eng.cam.ac.uk/news/richard-turner-work-featured-in-wired-magazine-and-on-bbc-radio/
    3 Jul 2024: Search. Richard Turner’s work featured in Wired Magazine and on BBC Radio. Oct 11, 2013. Richard Turner’s work on developing rich and efficient machine learning methods for audio data with applications ranging from intelligent hearing devices to
  45. Photo competition entries from the group featured in The Telegraph |…

    https://mlg.eng.cam.ac.uk/news/photo-competition-entries-from-the-group-featured-in-the-telegraph/
    3 Jul 2024: Search. Photo competition entries from the group featured in The Telegraph. Nov 20, 2014. Two entries from the group into the 2014 Engineering Department Photo Competition are featured in The Telegraph. The article features Yarin Gal’s second
  46. Active Learning with Statistical Models

    https://mlg.eng.cam.ac.uk/pub/pdf/CohGhaJor94a.pdf
    13 Feb 2023: Selecting x to minimize the expected integrated variance provides a solid statistical basis for choosing new examples. ... We compared a LOESS learner which selected each new query so as to minimize expected variance.
  47. Unsupervised Learning Week 1: Introduction, Statistical Basics, and a …

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect1.pdf
    27 Jan 2023: and its goal isto learn to produce the correct output given a new input. ... to generalize). Regression: The desired outputs yi are continuous valued.The goal is to predict the output accurately for new inputs.
  48. Adaptive Sequential Bayesian Change Point Detection Ryan…

    https://mlg.eng.cam.ac.uk/pub/pdf/TurSaaRas09.pdf
    13 Feb 2023: r)t (1 h). Update the messages, no new change point, Eq. ... γt1π(r)t h. Update the messages, there is a new change point, Eq.
  49. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect6hier.pdf
    27 Jan 2023: blind deconvolution. Neural Computation 7:1129–1159. 3. Comon, P. (1994) Independent components analysis, a new concept?
  50. ML-IRL: Machine Learning in Real Life Workshop at ICLR ...

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-CLUE.pdf
    16 Jul 2024: 4.2 QUALITATIVE UTILITY OF CLUE: USER STUDY. We conduct a human subject experiment to assess how well CLUEs help users identify whethera model will be uncertain on new datapoints.
  51. ML-IRL: Machine Learning in Real Life Workshop at ICLR ...

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-Counterfactual_Accuracy.pdf
    16 Jul 2024: The idea that multiple classifiers can fit a training dataset well, leading to different stories about therelationship between the input features and output response, is not new (Breiman, 2001), but hasreceived ... We can highlight the set of training

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