17:15 - 18:00 Alexandr Andoni (Microsoft Research, Mountain View). Introduction ... 09:45 - 13:00 Lecture by Kenneth Cla
Champalimaud Center for the Unknown, Lisbon, Portugal. L ocomotor .... Sebastian Loyola1, Tycho Hoogland1,2, Mario Negre
09:00-10:00. Megan Carey ..... Megan Carey, Champalimaud Centre for the ..... Alexander Tang1,2, William Bennett3+, Clai
grams these students participate in academic interventions focused on specific skill areas as well as in a broad array o
computer data and systems, it has also served as a facilitator for committing ... Since the topic will be presented from
Degree programme: Certificate. Introduction ... computer data and systems, it has also served as a facilitator for commi
Jul 6, 2017 - computer data and systems, it has also served as a facilitator for ... Since the topic will be presented f
Jun 29, 2015 - Students will have the opportunity to ask questions about the AP program, to get assistance with planning
The cost is only $53 for each class! Cost includes T-shirt, and lab supplies. For more information, https://sites.google
(I) (We) understand that our child(ren) must attend school in the correct sportswear, failure to do so may result in chi
Summer School in Computational Fluid Dynamics 2017.pdf. Summer School in Computational Fluid Dynamics 2017.pdf. Open. Ex
4 Discretization of the Divergence and Gradient ....... 106 ..... Even when an integral formulation is used, as in the finite volume ... In conclusion one cannot deny the satisfaction of knowing the ..... An equivalent way to do the test is to consid
This technical report summarizes the various talks and describes mostly unpublished work that is ...... FT-HYPEER uses the closest eligible aligned neighbor.
Oct 28, 1996 - solvable models of finite temperature crossovers ... Ising chain in a transverse field, and the large N limit of the O(N) quantum rotor model. .... We will begin our study of quantum phase transitions by examining a simple class of.
Summer School 2015 on HPC. Application Form. First name. Last name. Organisation. Address (street, city, code). Country.
regret bounds and sublinear optimization. Afternoon. 14:45 - 15:30 Christian Sohler (TU Dortmund). Streaming algorithms
Summer school on Computational Geometric Learning June 9-10-11 2011, Paris
Thursday June 9th Morning 09:00 - 09:45 Registration and welcome coffee 09:45 - 13:00 Lecture by Suresh Venkatasubramanian (University of Utah) Topic: The Geometry of Probability Distributions 09:45 - 10:30 Part I: Distances between distributions: classification and properties 10:30 - 11:00 Break 11:00 - 11:45 Part II: Estimation and dimensionality reduction for distributions 11:45 - 12:15 Break 12:15 - 13:00 Part III: Beyond information theory: metric-aware distances between distributions
Afternoon 14:45 - 15:30 Don Sheehy (Carnegie Mellon University) Learning with nets and meshes 15:30 - 16:00 Break 16:00 - 16:45 Arijit Ghosh (INRIA Sophia-Antipolis) Reconstructing and meshing submanifolds 16:45 - 17:15 Break 17:15 - 18:00 Alexandr Andoni (Microsoft Research, Mountain View) Introduction to LSH (tentative title)
1
Friday June 10th
Morning 09:45 - 13:00 Lecture by Herbert Edelsbrunner (IST Vienna) Topic: Computational Topology 09:45 - 10:30 Part I: Persistent Homology 10:30 - 11:00 Break 11:00 - 11:45 Part II: Algorithms 11:45 - 12:15 Break 12:15 - 13:00 Part III: Applications
Afternoon 14:45 - 15:30 Rien van de Weygaert (Rijksuniversiteit Groningen) Topological aspects of the cosmic web 15:30 - 16:00 Break 16:00 - 16:45 Barak Raveh (Tel Aviv University) Exploring and summarizing the high-dimensional space of molecular motions 16:45 - 17:15 Break 17:15 - 18:00 Quentin M´erigot (CNRS, Grenoble) Estimation of Federer’s curvature measures
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Saturday June 11th
Morning 09:45 - 13:00 Lecture by Kenneth Clarkson (IBM Almaden Research Center) Topic: Geometric optimization and structure in high dimensions 09:45 - 10:30 Part I: Quadratic optimization in the simplex: coresets and sparsity 10:30 - 11:00 Break 11:00 - 11:45 Part II: Quick and dirty feature extraction: sampling and sketching 11:45 - 12:15 Break 12:15 - 13:00 Part III: Quicker and dirtier quadratic programming: regret bounds and sublinear optimization
Afternoon 14:45 - 15:30 Christian Sohler (TU Dortmund) Streaming algorithms for the analysis of massive data sets in machine learning 15:30 - 16:00 Break 16:00 - 16:45 Christian Lorenz Mueller (ETH Z¨urich) Variable-metric randomized search heuristics for gradient-free black-box optimization 16:45 - 17:15 Break 17:15 - 18:00 S¨oren Laue (Friedrich-Schiller-Universit¨at Jena) Theory, algorithms and software for optimization
