PPT-Hierarchical Exploration for Accelerating Contextual Bandit

Yisong Yue Carnegie Mellon University Joint work with Sue Ann Hong CMU amp Carlos Guestrin CMU Sports Like Topic Likes Displayed Average Sports 1 1 1 Politics. Michael Kandefer and Stuart C. Shapiro. University at Buffalo. Department of Computer Science and Engineering. Center for Multisource Information Fusion. Center for Cognitive Science. {mwk3,shapiro}@. Tugba . Koc Emrah Cem Oznur Ozkasap. Department of . Computer . Engineering, . Koç . University. , Rumeli . Feneri Yolu, Sariyer, Istanbul . 34450 Turkey. Introduction. Epidemic (gossip-based) principles: highly popular in large scale distributed systems. LPAR 2008 . –. Doha, Qatar. Nikolaj . Bjørner. , . Leonardo de Moura. Microsoft Research. Bruno . Dutertre. SRI International. Satisfiability Modulo Theories (SMT). Accelerating lemma learning using joins. Accelerating Contextual Bandits. Yisong . Yue, . Sue Ann Hong . and. . Carlos Guestrin . Personalized Recommender Systems. Every day, user . visits . news portal. Wish to personalize to her . preferences. ABOUT SGT.io. SGT.io. . offers . native advertising technology to monetize contextual . commerce.. We create new customers . by converting traffic and increasing order values across 25M+ users.. We increase ad-engagement . Oliver van . Kaick. 1,4 . . Kai . Xu. 2. . Hao. Zhang. 1. . Yanzhen. Wang. 2. . Shuyang. Sun. 1. Ariel Shamir. 3. Daniel Cohen-Or. 4. 4. Tel Aviv University. 1. Simon . Fraser University. As this is a new skill, in year 10 we will work through some challenges together, so you can see how it is done.. As we will be working on this as a class, many of the outcomes will be similar. In the real NEA, everyone’s project will be completely different.. a. . Collaborative. . Environment. Qingyun. . Wu. 1. ,. . Huazheng. . Wang. 1. ,. . Quanquan. . Gu. 2. ,. . Hongning. Wang. 1. 1. Department. . of. . Computer. . Science. 2. Department. . Alekh Agarwal. Microsoft Research. Joint work with Daniel Hsu, John Langford, Lihong Li, . Satyen. Kale and . Rob Schapire. Learning to interact: example #1. Loop:. 1. Patient arrives with symptoms, medical history, genome, …. Classification of Transposable Elements . using a Machine . Learning Approach. Introduction. Transposable Elements (TEs) or jumping genes . are DNA . sequences that . have an intrinsic . capability to move within a host genome from one genomic location . S.V. Kuzikov. 1. , A.A. Vikharev. 1. , J.L. Hirshfield. 2,3. 1. Institute of Applied Physics RAS, Nizhny Novgorod, Russia. 2. Yale University, New Haven, CT, USA. 3. Omega-P, Inc., New Haven, CT, USA. Produces a set of . nested clusters . organized as a hierarchical tree. Can be visualized as a . dendrogram. A tree-like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering. Introduction to Data Mining, 2. nd. Edition. by. Tan, Steinbach, Karpatne, Kumar. Two Types of Clustering. Hierarchical. Partitional algorithms:. Construct various partitions and then evaluate them by some criterion. Contextual Inquiry and Design Methodology*. Brad Myers. 05-863 / 08-763 / 46-863: Introduction to . Human Computer Interaction for . Technology Executives. Fall, . 2009, . Mini 2. *These lecture notes based in part on notes created by Professors...