Все публикации

0:24:45

Why Deep Learning Works: Perspectives from Theoretical Chemistry, Charles Martin

0:23:08

In-core computation with HyperBall, Sebastiano Vigna

0:33:35

PCA with Model Misspecification, R. Anderson, S Bianchi

0:26:17

A theory of multineuronal dimensionality, dynamics and measurement, Surya Ganguli

0:26:12

Building Scalable Predictive Modeling Platform for Healthcare Applications, Jimeng Sun

0:26:07

Scalable Collective Inference from Richly Structured Data (Lise Getoor)

0:22:58

Randomized Low-Rank Approximation and PCA: Beyond Sketching, Cameron Musco

0:27:49

Cooperative Computing for Autonomous Data Centers Storing Social Network Data, Jon Berry

0:23:38

The Stability Principle for Information Extraction from Data, Bin Yu

0:18:01

The Union of Intersections Method, Kristopher Bouchard

0:28:56

Principal Component Analysis & High Dimensional Factor Model, Dacheng Xiu

0:27:44

Minimax optimal subsampling for large sample linear regression, Aarti Singh

0:27:45

Fast, flexible, and interpretable regression modeling, Daniela Witten

0:26:40

Fast Graphlet Decomposition, Nessreen Ahmet

0:31:34

New Results in Non-Convex Optimization for Large Scale Machine Learning, Constantine Caramains

0:27:53

Identifying Broad and Narrow Financial Risk Factors with Convex Optimization: Part 1, Lisa Goldberg

0:28:49

A Framework for Processing Large Graphs in Shared Memory, Julian Shun

0:30:10

Learning about business cycle conditions from four terabytes of data, Serena Ng

0:27:19

Structure & Dynamics from Random Observations, Abbas Ourmazd

0:25:06

Local graph clustering algorithms: an optimization perspective, Kimon Fountoulakis

0:31:08

Mining Tools for Large-Scale Networks, Babis Tsourakakis

0:52:26

New Methods for Designing and Analyzing Large Scale Randomized Experiment, Jasjeet Sekhon

0:29:14

Is manifold learning for toy data only?, Marina Meila

0:56:00

Top 10 Data Analytics Problems in Science, Prabhat