The new Apple chief faces major geopolitical challenges such as diversifying the supply chain away from China. The new Apple chief faces major geopolitical challenges such as diversifying the supply chain away from China. John Ternus takes over from Tim Cook as chief executive of Apple in September. A company insider, Ternus is moving up from his role as head of engineering to take control of the entire $4tn (£3tn) business. Apple is a vast, successful tech company and one of the most recognised brands in the world.

Environment Animals Wildlife Bats People keep trespassing near cave filled with bats infected by Ebola's cousin The Marburg virus disease can reach a nearly 90 percent mortality rate. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Epidemiologists believe the Marburg virus disease is primarily transmitted to humans through Egyptian fruit bats. Breakthroughs, discoveries, and DIY tips sent six days a week. You do not want to contract Marburg virus disease (MVD).

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

Planned experiments are the gold standard in reliably comparing the causal effect of switching from a baseline policy to a new policy. One critical shortcoming of classical experimental methods, however, is that they typically do not take into account the dynamic nature of response to policy changes. For instance, in an experiment where we seek to understand the effects of a new ad pricing policy on auction revenue, agents may adapt their bidding in response to the experimental pricing changes. Thus, causal effects of the new pricing policy after such adaptation period, the long-term causal effects, are not captured by the classical methodology even though they clearly are more indicative of the value of the new policy. Here, we formalize a framework to define and estimate long-term causal effects of policy changes in multiagent economies. Central to our approach is behavioral game theory, which we leverage to formulate the ignorability assumptions that are necessary for causal inference. Under such assumptions we estimate long-term causal effects through a latent space approach, where a behavioral model of how agents act conditional on their latent behaviors is combined with a temporal model of how behaviors evolve over time.

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

The recent success of deep neural networks relies on massive amounts of labeled data. For a target task where labeled data is unavailable, domain adaptation can transfer a learner from a different source domain. In this paper, we propose a new approach to domain adaptation in deep networks that can jointly learn adaptive classifiers and transferable features from labeled data in the source domain and unlabeled data in the target domain. We relax a shared-classifier assumption made by previous methods and assume that the source classifier and target classifier differ by a residual function. We enable classifier adaptation by plugging several layers into deep network to explicitly learn the residual function with reference to the target classifier. We fuse features of multiple layers with tensor product and embed them into reproducing kernel Hilbert spaces to match distributions for feature adaptation. The adaptation can be achieved in most feed-forward models by extending them with new residual layers and loss functions, which can be trained efficiently via back-propagation. Empirical evidence shows that the new approach outperforms state of the art methods on standard domain adaptation benchmarks.