when: may 16, 2014 from 11 am where: A00 Speaker: Tomáš Kocák title: Spectral Bandits for Smooth Graph Functions abstract: Smooth functions on graphs have wide applications in manifold and semi-supervised learning. In this paper, we study a bandit problem where the payoffs of arms are smooth on a graph. This framework is suitable for …
Category: Uncategorized
Jul 03
The total variation on hypergraphs – Learning on hypergraphs revisited
when: April 4, 2014 from 11 am to noon where: room B21 speaker: Shyam Sundar title: The total variation on hypergraphs – Learning on hypergraphs revisited abstract: In this talk, I present a new learning framework on hypergraphs which, unlike the existing methods, fully uses the hypergraph structure. The key element in our learning framework (for …
Jul 03
Network‐based Prediction of Adverse Drug Events and Interactions
when: Thursday, March 20th, 2014 3:00PM-4:00PM where: room B21 (bât. B, ave Halley) speaker: Aurel Cami title: Network‐based Prediction of Adverse Drug Events and Interactions abstract: Adverse drug events (ADEs) and drug‐drug interactions (DDIs) are a serious concern for Public Health and the pharmaceutical industry. Every year, millions of patients are affected by drug adverse …
Jul 03
Diffusion strategies for cooperative reinforcement learning
When: February 14, 2014 from 11 AM to noon Where: room W01 Speaker: Sergio Valcarcel Title: Diffusion strategies for cooperative reinforcement learning Abstract: We will introduce diffusion strategies and apply them to develop fully-distributed cooperative reinforcement learning solutions, in which agents in a network communicate only with their immediate neighbors to improve predictions about their …
Jul 03
Online Clustering of Bandits (in a Social Network)
When: January 17, 2014 from 11AM to noon Where: room B21 Speaker: Claudio Gentile Title: Online Clustering of Bandits (in a Social Network) Abstract: Bandit algorithms have become a standard tool for facing the the so-called exploration-exploitation dilemma that naturally arises in learning problems with partial information. Recommendation systems are one of the best applications …
Jul 03
Semi-supervised clustering
When: November 7, 2013 from 2pm. Where: room B21 Speaker: David Chatel Title: Semi-supervised clustering
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