PPT-Seminar on Communication Complexity

Rotem Zach November 1 st 2009 Quick Overview A rectangle in X Y is a subset R X Y such that R A B for some A X and B Y A rectangle R X Y is called . 00 19 for RESPRO Members 24 for Non Member CD Set Includes All Recorded Sessions and the Speaker Handouts Overview of RESPA A summary of RESPAs basic disclosure requirements referral fee prohibition affiliated business arrangement requirements pe Progress and Obstacles. Rotem Oshman. ADGA 2013. Overview: Network Models. CONGESTED CLIQUE. ASYNC MESSAGE-PASSING. LOCAL. CONGEST / general network. X. Talk Overview. Lower bound techniques. CONGEST general networks: reductions from 2-party communication complexity. April 26, 2013. Mark Braverman. Princeton University. Based on joint work with Ankit . Garg. , Denis . Pankratov. , and . Omri. Weinstein. Overview: information complexity. Information complexity . :: . Serge Massar. Physical. . Theories. Classical. Quantum. Generalised. . Probablisitic. . Theories. (GPT). Factorisation of. Communication / . Slack. . Matrix. Linear. SDP. Conic. Extended. Formulations. Wyvonnia W. . Walker, MA, . GRPA. . The Complexity of a Hoarder . What is a Hoarder as defined by the DSM . V. .. Am I a Hoarder?. What I should know about Hoarding. . How can we help?. Resources. The Complexity of a Hoarder . 2015 April. University of Haifa, Department of Statistics, Seminar for M.A. 1.  . Hastie, Tibshirani and Friedman. .. The . Elements of Statistical Learning (2nd edition, . 2009). .. Presentation . Rahul Jain. Centre for Quantum Technologies and. Department of Computer Science. National University of Singapore.. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . Andris Ambainis (Latvia), . Martins Kokainis (Latvia), . Robin Kothari (MIT). communication complexity. Alice holds . x. X. , Bob holds . y. Y. .. D. cc. (f). - minimum amount of communication to compute . Parallel Computation. Complexity Measures for Parallel Computation. Problem parameters:. n. index of problem size. p. number of processors. Algorithm parameters:. t. p. running time on p processors. Toniann. . Pitassi. University of Toronto. 2-Party Communication Complexity. [Yao]. 2-party communication: . each party has a dataset. . Goal . is to compute a function f(D. A. ,D. B. ). m. 1. m. 2. June 1, 2013. Mark Braverman. Princeton University. a tutorial. Part I: Information theory. Information theory, in its modern format was introduced in the 1940s to study the problem of transmitting data over physical channels. . IKNOWLEDGE AND COMPETENCE VALUERUBRICor more informationcontact valueaacuorgThe VALUE rubrics were developed by teams of faculty experts representing colleges and universities across the United States Lijie. Chen. MIT. Today’s Topic. Background. . What is Fine-Grained Complexity?. The Methodology of Fine-Grained Complexity. Frontier: Fine-Grained Hardness for Approximation Problems. The Connection. Group Advising. We’ll cover what Communication majors need to know and do to plan your schedules. Welcome to Group Advising! . Here’s how it will work. Major overview; Concentrations. Internship eligibility.