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Our Word of the Year choice serves as a symbol of each year’s most meaningful events and lookup trends.

It is an opportunity for us to reflect on the language and ideas that represented each year.

Bio: Ashish Vaswani is Research Scientist at Google Brain, where he works with fun people on non-sequential generative models that seem to translate well and generate reasonable images of cars and faces.

He's also interested in non-autoregressive models for generating structured outputs.

More importantly, we also prove that user dependency relation is only needed to be time-invariant, such that a sublinear upper regret bound is still achievable in such an algorithm. Extensive experiments on both synthetic and three large-scale real-world datasets verified the improvement of our proposed algorithm against several state-of-the-art contextual bandit algorithms. degree in computer science at the University of Illinois at Champaign-Urbana in 2014.Before joining Brain, Jakob led teams in Google Research and Search, developing neural network models of language that learn from weak supervision at very large scale and designing the semantic parser of the Google Assistant.Prior to that, he worked on Google Translate in its early years.Before Brain, he spent many wonderful years at ISI, first as a Ph D student, working on fast training of neural language models and MDL inspired training of latent-variable models with David Chiang and Liang Huang, and later as a scientist.He misses his colleagues in LA but he prefers the weather in San Francisco.

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