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Adrian Weller
https://mlg.eng.cam.ac.uk/adrian/19 Jun 2024: Mapping Intelligence: Requirements and Possibilities. ... us submitting the best entry to the MIREX open competition that year, see results here. -
Construction of Nonparametric Bayesian Models from Parametric Bayes…
https://mlg.eng.cam.ac.uk/pub/pdf/Orb09.pdf13 Feb 2023: Jx to xI, the subset of entries of xJ that are indexed by I J. ... is non-zero only for a finite number of indices l, such that the entries of SE are always finite. -
aistats2007-ibpsb.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/TehGorGha07a.pdf13 Feb 2023: Let Z be a random binaryN K ma-trix, and denote entry(i, k) in Z by zik. ... Entries ofA are drawn i.i.d. from a zeromean Gaussian with varianceσ2A. -
aistats2007-ibpsb.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/TehGorGha07.pdf27 Jan 2023: Let Z be a random binaryN K ma-trix, and denote entry(i, k) in Z by zik. ... Entries ofA are drawn i.i.d. from a zeromean Gaussian with varianceσ2A. -
Scaling the iHMM: Parallelization versus Hadoop Sébastien…
https://mlg.eng.cam.ac.uk/pub/pdf/BraVanVlaGha10.pdf13 Feb 2023: Sampling the transition and emission parameters is gen-erally very cheap: if K states are used in an iteration andthe emission distribution is multinomial with E outcomes,K2 entries in the ... Thealgorithm received a large amount of logging -
A Generative Model of Vector Space Semantics
https://mlg.eng.cam.ac.uk/pub/pdf/AndGha13a.pdf13 Feb 2023: Our approach is still composi-tional, in the sense that a sentence’s meaning canbe inferred from the meanings of its parts, but werelax the requirement that lexical items correspondto single ... The fact that relaxing thedistributional requirement for -
Marc P. Deisenroth, Jan Peters, and Carl E. Rasmussen: ...
https://mlg.eng.cam.ac.uk/pub/pdf/DeiPetRas08.pdf13 Feb 2023: context of this problem, we briefly discuss the computationaland memory requirements of GPDP and standard DP. ... We compare theperformances of DP and GPDP for one example trajectoryof the underpowered pendulum swing up as well as thecorresponding -
C:/Users/Adrian/Documents/GitHub/betheClean/docs/nb-UAI.dvi
https://mlg.eng.cam.ac.uk/adrian/nb-UAI.pdf19 Jun 2024: Lemma 2. Flipping variables changes affected pseudo-marginal matrix entries’ locations but not values. ... Then was set as max(a, b),and Σ as the proportion of non-zero entries in H. -
book
https://mlg.eng.cam.ac.uk/zoubin/papers/CGM.pdf27 Jan 2023: In the original M3 net formulation,this labelling is not penalised and the discriminative information about the clique,which does not fulfil the margin requirement, is lost. ... ψ(xnt1 ),. | 0,. , ψ(xnt2 ),. ]. which has 2q2 elements, twice as many -
book
https://mlg.eng.cam.ac.uk/pub/pdf/PerGhaPon07.pdf13 Feb 2023: In the original M3 net formulation,this labelling is not penalised and the discriminative information about the clique,which does not fulfil the margin requirement, is lost. ... ψ(xnt1 ),. | 0,. , ψ(xnt2 ),. ]. which has 2q2 elements, twice as many -
Human Perceptions of Fairness in Algorithmic Decision Making: A Case…
https://mlg.eng.cam.ac.uk/adrian/WWW18-HumanPerceptions.pdf19 Jun 2024: Reliability. Inspired by legal requirements that any admissibleevidence be reliably assessed [15, 38], fairness judgments might beinfluenced by the potential for reliably assessing the feature. ... Relevance. Inspired by legal requirements that any -
The Supervised IBP: Neighbourhood PreservingInfinite Latent Feature…
https://mlg.eng.cam.ac.uk/pub/pdf/QuaShaKnoGha13.pdf13 Feb 2023: Binary representations are very attractive forreducing storage requirements and accelerating searchand retrieval in large collections of high dimensionaldata. ... il. Let T be an N N N preference tensor. with entries {tijl} where tijl = 1 whenever j il is -
Prediction on Spike DataUsing Kernel Algorithms Jan Eichhorn, Andreas …
https://mlg.eng.cam.ac.uk/pub/pdf/EicTolZieetal04.pdf13 Feb 2023: Note, that each entry sk of the sequence (-matrix) s ismeant to be a vector containing the firing rates of all simultaneously recorded neurons inthe same time interval (bin). ... The second requirement for a valid alignment is that no dash is mapped toa -
PROBABILISTIC NON-NEGATIVE TENSOR FACTORIZATION USING MARKOV CHAIN…
https://mlg.eng.cam.ac.uk/pub/pdf/SchMoh09.pdf13 Feb 2023: 2. ‚. ‚. ‚X. KX. k=1. IO. i=1. uki. ‚. ‚. ‚. 2. F, s.t. uki 0, (2). where ‖ ‖2F is the squared Frobenius norm, which is thesum of squares of all entries ... Note that this formulation avoids the explicit computationof the approximation to -
LETTER Communicated by Joris Mooij Model Reductions for Inference: ...
https://mlg.eng.cam.ac.uk/pub/pdf/EatGha13a.pdf13 Feb 2023: Factor graphs with rational entries can be modeled bydividing an integer-valued factor graph by a polynomial-time computabledenominator, Z = Z̃/K. ... F ( P, ) satisfies the above requirements for a PA-map and can be computed. -
Journal of Machine Learning Research 10 (2009) 1187-1238 Submitted ...
https://mlg.eng.cam.ac.uk/pub/pdf/SilGha09.pdf13 Feb 2023: An important requirement for inference is the specification ofthe distribution over parameters of the models. ... 1194. BAYESIAN L EARNING WITH M IXED GRAPH M ODELS. such thatBi is a row vector withi 1 entries,γi is a scalar, and. -
Unifying Orthogonal Monte Carlo Methods
https://mlg.eng.cam.ac.uk/adrian/ICML2019-unified.pdf19 Jun 2024: The Gram-Schmidtmethod does not offer this advantage.(iii) Space requirements. All methods require the storageof O(d2) floating-point numbers. ... A commonlyused random projection is given by taking M to have i.i.d.N(0, 1/d) entries. -
zglactive.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf27 Jan 2023: the requirement that labels are binary, re-sulting in a simple and tractable family of algorithms. ... Define the diagonal matrix q6#sr_tu[8r E whose entries r E #wv G DFEmG are the weighted degrees ofthe nodes in 5. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [2022. James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie, -
THIS VERSION FIXES A TYPO IN THE STATEMENT OF ...
https://mlg.eng.cam.ac.uk/adrian/Weller15_revisit_fixed.pdf19 Jun 2024: An attractive edge may be reparameterized such that threeof its entries are 0, and therefore may be pruned, leavingonly either ψ′00 or ψ. ... Note the requirement that NA and NB containthe same snodes for the overlapping variable s, which weshall -
https://mlg.eng.cam.ac.uk/blog/feed.xml
https://mlg.eng.cam.ac.uk/blog/feed.xml12 Apr 2024: Jekyll 2024-04-12T16:32:5900:00 https://mlg.eng.cam.ac.uk/blog/feed.xml MLG Blog Blog of the Machine Learning Group at the University of Cambridge An introduction to Flow Matching 2024-01-20T00:00:0000:00 2024-01-20T00:00:0000:00 -
Bethe and Related Pairwise Entropy Approximations Adrian…
https://mlg.eng.cam.ac.uk/adrian/Weller_UAI15_BetheAndRelated.pdf19 Jun 2024: Lemma 1. Flipping variables changes affected pseudo-marginal matrix entries’ locations but not values. -
Randomized Nonlinear Component Analysis
https://mlg.eng.cam.ac.uk/pub/pdf/LopSraSmo14a.pdf13 Feb 2023: classifica-tion, random features exhibit little or no loss inperformance, while achieving drastic savings incomputational requirements. ... nor-mal entries. When not varying, the parameters are fixed ton = 1000, m = 1000 and γ = 103. -
Beyond Distributive Fairness in Algorithmic Decision Making: Feature…
https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf19 Jun 2024: ers, requiring high process fairness will prevent high classi-fication accuracy, since this requirement will force informa-tive features to be dropped (as explained in Section 5). ... Discrimination. In The Stanford Encyclope-dia of Philosophy. -
1 Learning the Structure of Deep Sparse Graphical Models ...
https://mlg.eng.cam.ac.uk/pub/pdf/AdaWalGha10.pdf13 Feb 2023: In such a Markov chain, this requirement is equiv-alent to the chain having an equilibrium distribu-tion when conditioned on nonabsorption (has a quasi-stationary distribution) (Seneta and Vere-Jones, ... tries in the k′th column of Z(m1), excluding -
gmpssp.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/icml103.pdf27 Jan 2023: Ac-cording to the requirement of detailed balance, the ac-ceptance probability for a new proposal V should beρ(V, V) = P(V. ... The set of β-sheet interactions is associated with a β-sheet contactmap defined by a n n matrix C whose ij-th entry -
A Graphical Model for Protein Secondary Structure Prediction Wei ...
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04a.pdf13 Feb 2023: Ac-cording to the requirement of detailed balance, the ac-ceptance probability for a new proposal V should be. ... The set of β-sheet interactions is associated with a β-sheet contactmap defined by a nn matrix C whose ij-th entry Cij. -
Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/topics/13 Feb 2023: Our experiments show that our model is able to fit a regression model for a dataset with 6 million entries two orders of magnitude faster compared to standard sparse GPs, while -
standalone.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/QuiRasWil07.pdf13 Feb 2023: We now seek to modify the joint prior p(f, f ) from (6) in ways which willreduce the computational requirements from (7). ... A less crude approximation to the training conditionalis to preserve a block-diagonal of the true covariance matrix, given by -
Student-t Processes as Alternatives to Gaussian Processes Amar Shah…
https://mlg.eng.cam.ac.uk/pub/pdf/ShaWilGha14a.pdf13 Feb 2023: Thusthe requirement ν > n 1 prohibits defining a usefulprocess which has Wishart marginals of arbitrary size.Nevertheless, the inverse Wishart distribution doesnot suffer this problem. ... Suppose y MVTn(ν,φ,K) and let y1 and y2 represent the firstn1 -
http://ijr.sagepub.com/Robotics Research The International Journal of …
https://mlg.eng.cam.ac.uk/pub/pdf/BouAllKre04a.pdf13 Feb 2023: Unfortunately, maintaining a Gaus-sian posterior imposes a significant burden on the memoryand space requirements of the EKF. ... This quadratic spaceand time requirement imposes severe scaling limitations. Inpractice, EKFs can only handle maps that -
http://ijr.sagepub.com/Robotics Research The International Journal of …
https://mlg.eng.cam.ac.uk/pub/pdf/ThrLiuKol04a.pdf13 Feb 2023: Unfortunately, maintaining a Gaus-sian posterior imposes a significant burden on the memoryand space requirements of the EKF. ... This quadratic spaceand time requirement imposes severe scaling limitations. Inpractice, EKFs can only handle maps that -
doi:10.1016/j.neucom.2008.12.019
https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasPet09.pdf13 Feb 2023: 3.1. Computational and memory requirements. GPDP as described in Algorithm 2 requires OðjXjjUj3 þjXj3Þcomputations per time step since training a GP scales cubically inthe number of training points, see Section ... Thus, GPDP can use data more -
Methods for Inference in Graphical Models
https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf19 Jun 2024: requirements for the degree. of Doctor of Philosophy. in the Graduate School of Arts and Sciences. ... convex if all but one variables are held fixed), and importantly, all off-diagonal entries are. -
LNCS 3355 - Analysis of Some Methods for Reduced Rank Gaussian…
https://mlg.eng.cam.ac.uk/pub/pdf/QuiRas05b.pdf13 Feb 2023: the requirement of each training case having a weight associated toit can be relaxed. ... Starting from a fullposterior distribution (as many weights as training inputs), they aim at finding asparse weight vector (with only m non-zero entries) with the -
Bayesian Segmental Models withMultiple Sequence Alignment Profilesfor …
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaPod06a.pdf13 Feb 2023: are accepted or rejected according to a reversible-jump. Metropolis criteria. According to the requirement of. ... Laplace approx-imation could also be applied to carry out this integration,despite the demanding requirement of inversion of largematrices. -
Bayesian Segmental Models withMultiple Sequence Alignment Profilesfor …
https://mlg.eng.cam.ac.uk/zoubin/papers/ieee-tcbb06.pdf27 Jan 2023: are accepted or rejected according to a reversible-jump. Metropolis criteria. According to the requirement of. ... Laplace approx-imation could also be applied to carry out this integration,despite the demanding requirement of inversion of largematrices. -
coverage.eps
https://mlg.eng.cam.ac.uk/pub/pdf/SilHelGhaetal10.pdf13 Feb 2023: However, the entries in LD are in general marginallydependent. Since this is a model of relationships given object attributes, wecall the model introduced here the relational Bayesian sets model. ... to relaxthis requirement, but for the problem to be -
thesis.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/Ras96b.pdf13 Feb 2023: in artificial intelligence and engineering are often driven by the requirements of technolog-. ... requirements grow rapidly with the amount of available training data. The Gaussian process. -
Efficient Reinforcement Learning using Gaussian Processes
https://mlg.eng.cam.ac.uk/pub/pdf/Dei10.pdf13 Feb 2023: T|,which maps indices to vector entries. For |T| = the domain of the function isinfinite and the mapping is given by h : x 7 h(x). -
Gaussian Processes forState Space Models andChange Point Detection…
https://mlg.eng.cam.ac.uk/pub/pdf/Tur11.pdf13 Feb 2023: queues. In contrast to an OCR, it is easy to specify on paper the requirements. -
Generalised Bayesian Matrix Factorisation Models Shakir Mohamed St…
https://mlg.eng.cam.ac.uk/pub/pdf/Moh11.pdf13 Feb 2023: I also confirm that this thesis is below 60,000 words and contains less than 150figures, in fulfilment of the requirements set by the degree committee for theDepartment of Engineering at ... One such situationis the analysis of count based data with an -
60 Denotational Validation of Higher-Order Bayesian Inference ADAM…
https://mlg.eng.cam.ac.uk/pub/pdf/SciKamVaketal18.pdf13 Feb 2023: We define add by primitive recursion:. add((s,a),xs) matchxs with{[] [(s,a)] new entry(r,x) :: xs if x = a. ... A technical requirement is needed to ensure that this initial algebra exists: we fix a regularcardinalκ, and demand that each type denotes aκ -
Formally justified and modular Bayesian inference for probabilistic…
https://mlg.eng.cam.ac.uk/pub/pdf/Sci19.pdf13 Feb 2023: Formally justified and modular Bayesianinference for probabilistic programs. Adam Michał Ścibior. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. Trinity College September -
Scalable Inference for StructuredGaussian Process Models Yunus…
https://mlg.eng.cam.ac.uk/pub/pdf/Saa11.pdf13 Feb 2023: memory requirements! One can argue that the exponential increase in computing. -
Bayesian Learning forData-Efficient Control Rowan McAllister…
https://mlg.eng.cam.ac.uk/pub/pdf/Mca16.pdf13 Feb 2023: Also thanks to the University of Sydney for the Eleanor SophiaWood Postgraduate Research Travelling Scholarship and King’s College Cambridgefor the King’s Studentship which completed my funding (which I will
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