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My Academic Lineage | Ari Weinstein's Research

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Ari Weinstein's Research. The below list goes through Nils John Nilsson. The other line from Leslie Kaelbling goes through Stanley Rosenschein, who does not have lineage represented in the mathematics genaelogy project. Some sleuthing seems to indicate that Stanley Rosenschein - Aravind Joshi -Zellig Harris; from him the database picks back up. Notable ancestors through this line are Leibniz. Investigating my academic lineage. My thesis advisor is Michael L. Littman. Also, there is Friedrich Leibniz, who...

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On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. Hoffman, Shahriari, Freitas. AISTATS 2014. | Ari Weinstein's Research

https://aresearch.wordpress.com/2015/07/08/on-correlation-and-budget-constraints-in-model-based-bandit-optimization-with-application-to-automatic-machine-learning-hoffman-shahriari-freitas-aistats-2014

Ari Weinstein's Research. On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. Hoffman, Shahriari, Freitas. AISTATS 2014. Consider noisy optimization with finite samples not yet clear if this is budget is imposed by the actor or the environment. Applications include parameter selection for machine learning tasks. A number of different criteria can be used in Bayesian land to select where to sample: “probability of improvement (PI),...

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Videos | Ari Weinstein's Research

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Ari Weinstein's Research. Ari Weinstein’s youtube videos. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Email (Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Notify me of new comments via email. Lukas Kirchhart's Blog.

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Notes on Optimization Task | Ari Weinstein's Research

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Ari Weinstein's Research. Enter your password to view comments. Protected: Notes on Optimization Task. This content is password protected. To view it please enter your password below:. Next post →. Follow Ari Weinstein's Research on WordPress.com. David Silver's Compilation of RL Applicaitons. Humanity Centered Robotics Initiative at Brown. I’m a bandit — Random topics on optimization, probability, and statistics. By Sébastien Bubeck. Lukas Kirchhart's Blog. Michael Littman's Home Page.

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Deep Learning. LeCun, Bengio, Hinton. Nature 2015 | Ari Weinstein's Research

https://aresearch.wordpress.com/2015/07/06/deep-learning-lecun-bengio-hinton-nature-2015

Ari Weinstein's Research. Deep Learning. LeCun, Bengio, Hinton. Nature 2015. 8220;Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. “. Previous machine learning methods traditionally relied on significant hand-engineering to process data into something the real learning algorithm could use. Has allowed for breakthroughs in many different areas. Theoretical results as to why NNs rarely get stuck i...

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Ari Weinstein's Research | Page 2

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Ari Weinstein's Research. On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. Hoffman, Shahriari, Freitas. AISTATS 2014. Consider noisy optimization with finite samples not yet clear if this is budget is imposed by the actor or the environment. Applications include parameter selection for machine learning tasks. A number of different criteria can be used in Bayesian land to select where to sample: “probability of improvement (PI),...

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Active Model Selection. Madani, Lizotte, Greiner. UAI 2004 | Ari Weinstein's Research

https://aresearch.wordpress.com/2015/07/08/active-model-selection-madani-lizotte-greiner-uai-2004

Ari Weinstein's Research. Active Model Selection. Madani, Lizotte, Greiner. UAI 2004. Considers the case where there is a fixed budget. Shown to be NP-Hard. 8220;We observe empirically that the simple biased-robin algorithm significantly outperforms the other algorithms in the case of identical costs and priors.”. 8220;We address the computational complexity of the problem, showing that it is in PSPACE, but also NP-hard under different coin costs.”. Metric is based on regret. 8220;We have observed that o...

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Gaussian Process Dynamical Models. Wang, Fleet, Hertzmann. Nips 2006 | Ari Weinstein's Research

https://aresearch.wordpress.com/2015/07/08/gaussian-process-dynamical-models-wang-fleet-hertzmann-nips-2006

Ari Weinstein's Research. Gaussian Process Dynamical Models. Wang, Fleet, Hertzmann. Nips 2006. 8220;A GPDM comprises a low-dimensional latent space with associated dynamics, and a map from the latent space to an observation space.”. 8220;We demonstrate the approach on human motion capture data in which each pose is 62-dimensional.”. As a Bayesian nonparametric, GPs make them easier to use and overfit less. 8220;The Gaussian Process Dynamical Model (GPDM) comprises a mapping from a latent space to the da...

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CV | Ari Weinstein's Research

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Ari Weinstein's Research. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Email (Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Notify me of new comments via email. Follow Ari Weinstein's Research on WordPress.com.