NIPS Workshops, Lake Tahoe 2013

NIPS Workshops, Lake Tahoe 2013

113 Lectures ยท Dec 9, 2013

About

The Post-Conference Workshop Program covered a wide range of topics from Neuroscience to Machine Learning.

Detailed information can be found at NIPS 2013 Workshops homepage.

Related categories

Uploaded videos:

Crowdsourcing: Theory, Algorithms and Applications

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26:52

Crowd-Powered Systems

Michael S. Bernstein

Oct 06, 2014

 ยท 

1951 Views

Invited Talk
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33:57

Crowdsourcing knowledge, one billion facts at a time

Evgeniy Gabrilovich

Oct 06, 2014

 ยท 

2281 Views

Lecture
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31:00

Collaborative Decision Making

Devavrat Shah

Oct 06, 2014

 ยท 

1648 Views

Lecture
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33:21

Incentive Design for Crowdsourcing: A Game-Theoretic Approach

Arpita Ghosh

Oct 06, 2014

 ยท 

1806 Views

Lecture
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29:56

Algorithmic Crowdsourcing

Dengyong Zhou

Oct 06, 2014

 ยท 

1735 Views

Lecture
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17:16

Matching Workers Expertise with Tasks: Incentives in Heterogeneous

Afshin Nikzad

Oct 06, 2014

 ยท 

1993 Views

Lecture
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15:50

Social Status and the Design of Optimal Badges

Greg Stoddard

Oct 06, 2014

 ยท 

1743 Views

Lecture
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12:18

Adaptive Contract Design for Crowdsourcing

Chien-Ju Ho

Oct 06, 2014

 ยท 

1863 Views

Lecture

Deep Learning

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23:08

New insights on parameter estimation

Nando de Freitas

Oct 06, 2014

 ยท 

3303 Views

Lecture
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27:09

A PAC-Bayesian Analysis of Dropouts

David McAllester

Oct 06, 2014

 ยท 

2092 Views

Lecture
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29:49

Two architectures for one-shot learning

Joshua B. Tenenbaum

Oct 06, 2014

 ยท 

3465 Views

Lecture
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18:55

Playing Atari with Deep Reinforcement Learning

Volodymyr Mnih

Oct 06, 2014

 ยท 

5084 Views

Lecture

Discrete Optimization in Machine Learning: Connecting Theory and Practice

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50:17

Tutorial on Discrete Convex Analysis: Basics, DC Programming, and Submodular Wel...

Kazuo Murota

Oct 06, 2014

 ยท 

1946 Views

Tutorial
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35:54

Balancing the Explore/Exploit Tradeoff in Interactive Structured Prediction

Yisong Yue

Oct 06, 2014

 ยท 

2684 Views

Lecture
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50:50

Summarizing Big Data: A Practical Use for Submodular Functions

Jeff A. Bilmes

Oct 06, 2014

 ยท 

1830 Views

Lecture
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41:27

MAD-Bayes: MAP-based Asymptotic Derivations from Bayes

Michael I. Jordan

Oct 06, 2014

 ยท 

3050 Views

Lecture

Large Scale Matrix Analysis and Inference

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29:27

Learning with Matrix Parameters

Nathan Srebro

Oct 06, 2014

 ยท 

1713 Views

Invited Talk
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28:05

Near-Optimal Algorithms for Online Matrix Prediction

Satyen Kale

Oct 06, 2014

 ยท 

1881 Views

Invited Talk
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28:30

Large scale matrix algorithms and matrix completion

Benjamin Recht

Oct 06, 2014

 ยท 

1975 Views

Invited Talk
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31:42

Sketching as a Tool for Numerical Linear Algebra

David P. Woodruff

Oct 06, 2014

 ยท 

1995 Views

Invited Talk
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32:22

Spectral sparsification of graphs: an overview of theory and practical methods

Yiannis Koutis

Oct 06, 2014

 ยท 

1623 Views

Invited Talk
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28:30

Efficiently implementing sparsity in learning

Malik Magdon-Ismail

Oct 06, 2014

 ยท 

1773 Views

Invited Talk
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31:05

Primal-Dual Graph Algorithms for MapReduce

Ashish Goel

Oct 06, 2014

 ยท 

1663 Views

Invited Talk
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27:03

Large-scale matrix operations using a data-flow engine

Matei Zaharia

Oct 06, 2014

 ยท 

1706 Views

Invited Talk
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21:51

Large Scale Matrix Analysis and Inference

Manfred K. Warmuth

Oct 06, 2014

 ยท 

1728 Views

Invited Talk

MLINI-13: Machine Learning and Interpretation in Neuroimaging

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50:51

Dissimilarity Representation for Unsupervised and Supervised Tract Segmentation

Paolo Avesani

Oct 06, 2014

 ยท 

1582 Views

Invited Talk
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51:27

Building common, high-dimensional models of neural representational spaces using...

James V. Haxby

Oct 06, 2014

 ยท 

1828 Views

Invited Talk
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57:16

The geometry of high-level visual representations

Nikolaus Kriegeskorte

Oct 06, 2014

 ยท 

1676 Views

Invited Talk
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28:50

Resting state functional connectivity: perils and promises

Oct 06, 2014

 ยท 

1672 Views

Invited Talk
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41:57

Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis

Michael Coen

Oct 06, 2014

 ยท 

1905 Views

Lecture
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20:40

Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections

Raif M. Rustamov

Oct 06, 2014

 ยท 

1659 Views

Lecture
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22:16

An oblique approach to prediction of conversion to Alzheimer's Disease with mult...

Jonathan Young

Oct 06, 2014

 ยท 

1713 Views

Lecture
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41:16

Sparse Modeling in fMRI Analysis

Irina Rish

Oct 06, 2014

 ยท 

1749 Views

Lecture
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21:59

Learning to Classify Psychiatric Disorders based on fMR Images: Autism vs Health...

Sina Ghiassian

Oct 06, 2014

 ยท 

1904 Views

Lecture
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20:20

When brain and behavior disagree: A novel ML approach for handling systematic la...

Marius Kloft

Oct 06, 2014

 ยท 

1622 Views

Lecture
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47:08

Speech-based Psychiatric Evaluation

Guillermo A. Cecchi

Oct 06, 2014

 ยท 

1564 Views

Lecture

Modern Nonparametric Methods in Machine Learning

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42:50

Kernel means and shrinkage

Bernhard Schรถlkopf

Oct 06, 2014

 ยท 

2605 Views

Invited Talk
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36:39

Laplace operators and regularization Fast algorithms for translation invariant a...

Alex Smola

Oct 06, 2014

 ยท 

2833 Views

Invited Talk
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38:16

The Hidden Convexity of Spectral Clustering

Mikhail Belkin

Oct 06, 2014

 ยท 

1912 Views

Invited Talk
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44:01

Regularization and Computations: Early stopping for Online Learning

Lorenzo Rosasco

Oct 06, 2014

 ยท 

1694 Views

Invited Talk
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40:48

Surprising phenomena in inference for iid p dimensional data for 0<p/n<1 and for...

Peter J. Bickel

Oct 06, 2014

 ยท 

1727 Views

Invited Talk
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41:44

Nonparametric Active Learning

Robert D. Nowak

Oct 06, 2014

 ยท 

2196 Views

Invited Talk
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31:48

Analysis of the copula correlation matrix for meta-elliptical distributions

Yue Zhao

Oct 06, 2014

 ยท 

2104 Views

Invited Talk

NIPS 2013 Workshop on Causality: Large-scale Experiment Design and Inference of Causal Mechanisms

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27:09

Distinguishing between cause and effect: estimation of causal graphs with two va...

Jonas Peters

Oct 06, 2014

 ยท 

1978 Views

Tutorial
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50:21

Causal inferences from complex observational and randomized studies with time-va...

James Robins

Oct 06, 2014

 ยท 

1622 Views

Tutorial
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44:33

Historical perspective in causal structure learning from observational and exper...

Richard Scheines

Oct 06, 2014

 ยท 

1540 Views

Lecture
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15:05

Path Constraints for Causal Discovery

Frederick Eberhardt

Oct 06, 2014

 ยท 

1660 Views

Lecture
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15:17

Causal Transportability with Limited Experiments

Elias Bareinboim

Oct 06, 2014

 ยท 

1773 Views

Lecture
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17:59

Learning Causal Structure from Undersampled Time Series

David Danks

Oct 06, 2014

 ยท 

1755 Views

Lecture
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15:43

Experiment Design in Static Models of Dynamic Biological Systems

Karen Sachs

Oct 06, 2014

 ยท 

1821 Views

Lecture
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30:33

Results and analysis of the 2013 ChaLearn cause-effect pair challenge

Isabelle Guyon

Oct 06, 2014

 ยท 

2980 Views

Lecture
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12:30

Automated Feature Engineering Applied to Causality

Diogo Moitinho de Almeida

Oct 06, 2014

 ยท 

2372 Views

Lecture
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13:24

Conditional distribution variability measures for causality detection

Josรฉ Adriรกn Rodrรญguez Fonollosa

Oct 06, 2014

 ยท 

1779 Views

Lecture
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11:41

Codalab - A new service for data exchange, code execution, benchmarks and reprod...

Evelyne Viegas

Oct 06, 2014

 ยท 

1798 Views

Lecture
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15:41

Clinical trials with non-adherence and unblinding: a graphical perspective

Lizzie Silver

Oct 06, 2014

 ยท 

1804 Views

Lecture
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16:54

A Review of Partially Observable Markov Decision Processes for Causal Modeling

Finale Doshi-Velez

Oct 06, 2014

 ยท 

2029 Views

Lecture
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14:37

Why Am I Stuck? Token-Level Causal Reasoning for AI and Robotics

Denver Dash

Oct 06, 2014

 ยท 

1646 Views

Lecture
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13:45

Bayesian experimental design

Matthias W. Seeger

Oct 06, 2014

 ยท 

1882 Views

Lecture
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39:06

Summary of the challenge results and award distribution

Isabelle Guyon

Oct 06, 2014

 ยท 

2735 Views

Lecture

Output Representation Learning

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35:28

Amortized Integer Linear Programming Inference

Dan Roth

Oct 06, 2014

 ยท 

1742 Views

Invited Talk
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17:42

Latent Structured Ranking

Jason Weston

Oct 06, 2014

 ยท 

1639 Views

Invited Talk
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27:12

GSNs: Avoiding the Intractability of Marginalization by Learning the Transition ...

Yoshua Bengio

Oct 06, 2014

 ยท 

1933 Views

Invited Talk
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29:05

On the Design of Output Representations in Deep Networks for Speech Recognition

Li Deng

Oct 06, 2014

 ยท 

1650 Views

Invited Talk
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18:47

Learning with Marginalized Corruption

Kilian Q. Weinberger

Oct 06, 2014

 ยท 

1639 Views

Invited Talk
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25:35

DeViSE: A Deep Visual-Semantic Embedding Model

Samy Bengio

Oct 06, 2014

 ยท 

2900 Views

Invited Talk
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11:44

Predicting Dialogue Outcomes over Structured Latent Representations

Dan Goldwasser

Oct 06, 2014

 ยท 

1436 Views

Lecture
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10:58

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling

Kihyuk Sohn

Oct 06, 2014

 ยท 

1638 Views

Lecture

Data Driven Education

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27:31

Discovering and removing barriers to learning

Kenneth R. Koedinger

Oct 06, 2014

 ยท 

1548 Views

Invited Talk
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25:32

Demographics and learner behavior in MITx and HarvardX MOOCs

Daniel Seaton

Oct 06, 2014

 ยท 

1554 Views

Invited Talk
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27:27

Personalized Learning and Temporal Modeling at Khan Academy

Jascha Sohl-Dickstein

Oct 06, 2014

 ยท 

1899 Views

Lecture
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26:26

Creating Infinitely Adaptable Courseware

Zoran Popoviฤ‡

Oct 06, 2014

 ยท 

1610 Views

Lecture
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25:55

What I've Learned about Learning

Peter Norvig

Oct 06, 2014

 ยท 

1718 Views

Invited Talk
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24:35

Opportunities and Challenges for Education Research on Coursera

Andrew Maas

Oct 06, 2014

 ยท 

1788 Views

Lecture

Knowledge Extraction from Text (KET)

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28:42

Quick over of Machine Reading Approaches

Estevam R. Hruschka

Oct 06, 2014

 ยท 

1519 Views

Lecture
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28:21

Never-Ending Language Learning (NELL)

Partha Pratim Talukdar

Oct 06, 2014

 ยท 

1828 Views

Lecture
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28:23

What should be extracted from text

Mitja Trampuลก

Oct 06, 2014

 ยท 

1534 Views

Lecture
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51:21

Knowledge Extraction from Archaeological Texts

Christopher Rรฉ

Oct 06, 2014

 ยท 

1653 Views

Lecture
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14:47

Information Retrieval from Clinical Reports

Michel Oleynik

Oct 06, 2014

 ยท 

2392 Views

Lecture
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51:02

Semantic Construction Grammars

Michael Witbrock

Oct 06, 2014

 ยท 

1682 Views

Lecture
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29:37

Structured Learning for Mapping Natural Language to Spatial Calculi Models

Parisa Kordjamshidi

Oct 06, 2014

 ยท 

1599 Views

Lecture
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28:34

The Wisdom of the Crowds to Assist Never Ending Learning Tasks through Conversin...

Estevam R. Hruschka

Oct 06, 2014

 ยท 

1524 Views

Lecture
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01:02:54

Knowledge Extraction From Business Texts

James Hodson

Oct 06, 2014

 ยท 

1697 Views

Lecture

Learning Faster From Easy Data

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42:30

Optimistic Rates

Nathan Srebro

Oct 06, 2014

 ยท 

1714 Views

Invited Talk
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30:51

Selective sampling algorithms for cost-sensitive multiclass prediction

Alekh Agarwal

Oct 06, 2014

 ยท 

1804 Views

Invited Talk
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24:37

Localization and Adaptation in Online Learning Through Relaxations

Karthik Sridharan

Oct 06, 2014

 ยท 

1598 Views

Invited Talk
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47:02

Follow the leader if you can, Hedge if you must

Tim van Erven

Oct 06, 2014

 ยท 

1980 Views

Invited Talk
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38:05

Fast rates for the multi-armed bandit

Sรฉbastien Bubeck

Oct 06, 2014

 ยท 

2233 Views

Invited Talk

Machine Learning for Sustainability

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33:38

Computational Sustainability

Carla P. Gomes

Oct 06, 2014

 ยท 

1502 Views

Keynote
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20:27

Network Design Problems in Landscape Connectivity Conservation

Bistra Dilkina

Oct 06, 2014

 ยท 

1563 Views

Invited Talk
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27:51

SMART-ISO: High-Dimensional Stochastic Optimization for Renewables Integration

Hugo P. Simao

Oct 06, 2014

 ยท 

1503 Views

Invited Talk
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23:45

Large-scale Probabilistic Energy Forecasting

J. Zico Kolter

Oct 06, 2014

 ยท 

1465 Views

Invited Talk
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25:42

BirdCast: Novel Machine Learning Methods for Understanding Continent-Scale Bird ...

Daniel R. Sheldon

Oct 06, 2014

 ยท 

1566 Views

Invited Talk
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29:09

Adaptive management across time and space

Iadine Chadรจs

Oct 06, 2014

 ยท 

1415 Views

Invited Talk

Machine Learning in Computational Biology

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48:00

Genetic variation in gene regulation

Jonathan Pritchard

Oct 06, 2014

 ยท 

1439 Views

Invited Talk
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41:05

Multi-view multi-task learning for drug sensitivity prediction

Samuel Kaski

Oct 06, 2014

 ยท 

1935 Views

Invited Talk
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19:12

Multi-trait genomic selection via multivariate regression with structured regula...

Julien Chiquet

Oct 06, 2014

 ยท 

1407 Views

Lecture
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20:55

Epigenome-Wide Association Studies Without the Need for Cell-Type Composition

James Y. Zou

Oct 06, 2014

 ยท 

1719 Views

Lecture
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17:52

A Poisson-multivariate normal hierarchical model for measuring microbial conditi...

Surojit Biswas

Oct 06, 2014

 ยท 

1511 Views

Lecture
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20:05

Multisource transfer learning for host-pathogen protein interaction prediction i...

Meghana Kshirsagar

Oct 06, 2014

 ยท 

1575 Views

Lecture
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19:33

Sparse Estimation of Module Gaussian Graphical Models with Applications to Cance...

Safiye Celik

Oct 06, 2014

 ยท 

1889 Views

Lecture
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16:07

Identifying Perturbed Genes in the Regulatory Networks from Gene Expression Data

Maxim Grechkin

Oct 06, 2014

 ยท 

1637 Views

Lecture
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17:19

Kernel bilinear regression for toxicogenetics

Erwan Scornet

Oct 06, 2014

 ยท 

1722 Views

Lecture
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19:44

A convolutional model of RNA-binding proteins

Andrew Delong

Oct 06, 2014

 ยท 

1755 Views

Lecture

New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks

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34:00

An Overview of Transfer Learning

Sinno Jialin Pan

Oct 06, 2014

 ยท 

3210 Views

Invited Talk
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34:28

Sparse Coding for Multi-task and Transfer Learning

Massimiliano Pontil

Oct 06, 2014

 ยท 

2122 Views

Invited Talk
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36:06

Understanding Domain Adaptation Learning - the good and the not so good

Shai Ben-David

Oct 06, 2014

 ยท 

2455 Views

Invited Talk
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29:13

Nonparametric Bayesian inference using kernel distribution embeddings

Arthur Gretton

Oct 06, 2014

 ยท 

2064 Views

Invited Talk
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33:13

Learning kernels for visual domain adaptation

Fei Sha

Oct 06, 2014

 ยท 

2017 Views

Invited Talk

Workshop on Spectral Learning

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32:11

Partial Information from Spectral Methods

Percy Liang

Oct 06, 2014

 ยท 

1943 Views

Invited Talk
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51:46

Nonparametric Latent Variable Models via Kernel Embedding of Distributions

Le Song

Oct 06, 2014

 ยท 

2122 Views

Invited Talk
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39:26

Weighted Spectral Learning and the Efficiency Sharpening Algorithm

Michael Thon

Oct 06, 2014

 ยท 

1605 Views

Invited Talk
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59:47

Discovering Hidden Variables in Noisy-Or Networks

David Sontag

Oct 06, 2014

 ยท 

1718 Views

Invited Talk
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50:11

Clustering Data: Does Theory Help?

Ravindran Kannan

Oct 06, 2014

 ยท 

1716 Views

Invited Talk