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https://mlg.eng.cam.ac.uk/zoubin/papers/modul.pdf27 Jan 2023: R. Simultaneous op-posing adaptive changes in cat vestibulo-ocular re ex. directions for two body orientations. -
The Random Forest Kerneland creating other kernels for big data from…
https://mlg.eng.cam.ac.uk/pub/pdf/DavGha14a.pdf13 Feb 2023: These also leave little recourse for constructing new ker-nels. They can be combined through the use of certain op-erators such as and and some work has been done -
The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...
https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf13 Feb 2023: Thisinfinite emission model is controlled by two additional hyperparameters. In section 4 wedescribe the procedures for inference (Gibbs sampling the hidden states), learning (op-timising the hyperparameters), and likelihood evaluation -
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. -
Structured Evolution with Compact Architectures for Scalable Policy…
https://mlg.eng.cam.ac.uk/adrian/structured_icml_full.pdf16 Jul 2024: Ourexperiments include a detailed comparison of variousDFO schemes on a collection of 212 benchmark op-timization problems from (Moré & Wild, 2009) and12 continuous control tasks from the OpenAI Gymbenchmark suite. • -
Discovering Interpretable Representations for Both Deep Generative…
https://mlg.eng.cam.ac.uk/adrian/ICML18-Discovering.pdf16 Jul 2024: Also, note that an interpretable model will op-timize the dependence between the latent space z and theside information s to express a simple, i.e. -
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 -
One-network Adversarial Fairness
https://mlg.eng.cam.ac.uk/adrian/AAAI2019_OneNetworkAdversarialFairness.pdf16 Jul 2024: classifier, we make onlyslight adjustments to the architecture including adding a newhidden layer, in order to enable the concurrent adversarial op-timization for fairness and accuracy. -
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.
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