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An Introduction to LP Relaxations for MAP Inference
https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW2-LP.pdf19 Jun 2024: The rationalefor using an approximate solver is that especially in the beginning of the op-timization process the current relaxation is not a “tight” relaxation of the cutpolytope anyway.”. -
Bayesian Exponential Family PCA Shakir Mohamed Katherine Heller…
https://mlg.eng.cam.ac.uk/pub/pdf/MohHelGha08.pdf13 Feb 2023: The EPCAobjective function can be seen as the likelihood function of a probabilistic model, and hence this op-timisation corresponds to maximum a posteriori (MAP) learning. -
Student-t Processes as Alternatives to Gaussian Processes Amar Shah…
https://mlg.eng.cam.ac.uk/pub/pdf/ShaWilGha14a.pdf13 Feb 2023: Finally, we demonstratethe Student-t process on regression and Bayesian op-timization problems in section 5. ... V. Picheny, T. Wagner, and D. Ginsbourger. A Bench-mark of Kriging-Based Infill Criteria for Noisy Op-timization. -
MCMC for doubly-intractable distributions Iain MurrayGatsby…
https://mlg.eng.cam.ac.uk/zoubin/papers/doubly_intractable.pdf27 Jan 2023: q(xK1; xK , θ′, y) TK1(xK1; xK , θ′, θ̂(y)). q(x1; x2, θ′, y) T1(x1; x2, θ′, θ̂(y)) ,. (16). where Tk are the corresponding reverse transition ... This simulates an ideal casewhere the energy levels are close, or the transition op-erators -
TibGM: A Transferable and Information-Based Graphical Model Approach…
https://mlg.eng.cam.ac.uk/adrian/ICML2019-TibGM.pdf19 Jun 2024: Kappen, H. Path integrals and symmetry breaking for op-timal control theory. -
Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…
https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf19 Jun 2024: Genevay, A., Cuturi, M., Peyré, G., and Bach, F.(2016). Stochastic Optimization for Large-scale Op-timal Transport. ... 2018). Computational Op-timal Transport. arXiv. Pitié, F., Kokaram, A. C., and Dahyot, R. -
Predictive Automatic Relevance Determinationby Expectation…
https://mlg.eng.cam.ac.uk/zoubin/papers/Qi04.pdf27 Jan 2023: In (7),φi is the product of ti and φ(xi). By contrast, Op-per and Winther estimate the error probability by1N. -
Predictive Automatic Relevance Determinationby Expectation…
https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf13 Feb 2023: In (7),φi is the product of ti and φ(xi). By contrast, Op-per and Winther estimate the error probability by1N. -
Accelerated Sampling for the Indian Buffet Process Finale Doshi-Velez …
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09.pdf13 Feb 2023: may be updated in O(K2) time. However, the remain-ing matrix products require O(N 2K) and O(N 2D) op-erations respectively. -
Marc P. Deisenroth, Jan Peters, and Carl E. Rasmussen: ...
https://mlg.eng.cam.ac.uk/pub/pdf/DeiPetRas08.pdf13 Feb 2023: Rasmussen1,2. Abstract— In general, it is difficult to determine an op-timal closed-loop policy in nonlinear control problems withcontinuous-valued state and control domains.
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