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6 May 2024: Adrian serves on the boards of several organizations. He is a member of the World Economic Forum Global Future Council on the Future of AI, and is co-director of the ... Train and test tightness of LP relaxations in structured prediction.

13 Feb 2023: Finally, the fourth conversion yields an algorithm for synthesising program source code from input-output examples that is able to solve test problems 1-3 orders of magnitude faster than a ... Versa substitutes optimization at test time with forward

6 May 2024: truth.”. Defining criteria and tests for practical faithfulness are important open pro-blems. ... 53. Prat, A.: The wrong kind of transparency. American Economic Review 95(3),862–877 (2005).

13 Feb 2023: may have contained data close to the test in-put, which hadn’t been designated as relevance vectors. ... For the robot arm we use dis-joint test and training sets both of 2000 cases.

13 Feb 2023: In this work, we test how well-automated methods can detect conversational behaviors and replace an expert human annotator. ... Abstract: Domain generalization (DG) seeks predictors which perform well on unseen test distributions by leveraging data drawn

13 Feb 2023: modeling through spatially varying coregionalization. Test 13(2), 263–312 (2004)Gouriéroux, C.: ARCH models and financial applications. ... The Re-. view of Economic Studies 61(2), 247–264 (1994)Murray, I., Adams, R.P., MacKay, D.J.: Elliptical

13 Feb 2023: After optimizing parameters, we computedthe performance on the test set. We used the correlation between the actual andpredicted sine and cosine of the angle as the performance measure. ... b) The prediction on the test setusing 300 sources. Red dots

13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference

6 May 2024: Significant re-sults are identified using a paired t-test with p = 0.05. ... The SVHN dataset contains 73,257training digits (instances) and 26,032 test digits.

6 May 2024: In this paper, we draw inspiration from the fair-division and envy-freeness literature in economics and game theory and proposepreference-based notions of fairness—given the choice between various sets ... Finally,we train the five classifiers