Data Group Meeting
Instructor : Jeff Phillips
Spring 2016 | Thursday 12:15 pm - 1:30 pm
Location : MEB 3147 (LCR)
Catalog number: CS 7941 01


Description:
This is the Data Group meeting, with friends. Enrolled students will hear and present cutting edge research in data mining, databases, and algorithms. This can be taken for 1-3 credits (consult with instructor before registering for more than 1), depending on how many presentations you will give. All are welcome to attend.
Schedule:
Date Topic Speaker
Thur 1.14 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition Cameron Musco
Thur 1.21 Ridge Leverage Scores for Low-Rank Approximation Christopher Musco
Thur 1.28 A Generative Approach For Semi-Supervised Clustering Yen-Yun Yu
Thur 2.04 [talk postponed] no meeting
Thur 2.11 Expanders via Local Edge Flips Aditya Bhaskara
Thur 2.18 First-Order Iterative Methods in the Design of Fast Algorithms: from Multiplicative Weight Updates to Nesterov’s Method Lorenzo Orecchia
Thur 2.25 The Robustness of Estimator Composition Pingfan Tang
Thur 3.03 Data science at Recursion: diseases, to images, to math, to new treatments Blake Borgeson
Thur 3.10 Cosmology with Spectroscopic Surveys: Scientific Goals and Interpretation of Noisy Data Kyle Dawson
Thur 3.17 (Fall Break - No Class)
Thur 3.24 Managing Geographic Uncertainty in Spatial Decision Making Ran Wei
Thur 3.31 2-Edge Connectivity in Directed Graphs Ashkan Bashardoust
Thur 4.07 Online Aggregation and Ripple Join Robert Christensen
Thur 4.14 Two Cultures of Optimization | Faster Convex Optimization : Simulated Annealing with an Efficient Universal Barrier Aditya Bhaskara
Thur 4.23