25th International Conference on Machine Learning (ICML), Helsinki 2008

25th International Conference on Machine Learning (ICML), Helsinki 2008

128 Videos · Jul 5, 2008

About

The 25th International Conference on Machine Learning (ICML 2008) was organized in Helsinki, Finland on July 5-9, 2008. ICML is the leading international machine learning conference, attracting annually about 500 participants from all over the world. ICML is supported by the International Machine Learning Society(IMLS). Check also last years videos - ICML07... Event home page: > http://icml2008.cs.helsinki.fi/ ----

Videos

Kernels

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19:38

A Generalization of Haussler's Convolution Kernel - Mapping Kernel

Kilho Shin

Jul 28, 2008

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4578 views

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22:27

Nu-Support Vector Machine as Conditional Value-at-Risk Minimization

Akiko Takeda

Jul 28, 2008

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7561 views

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24:08

Nonextensive Entropic Kernels

André F. T. Martins

Jul 28, 2008

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3550 views

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16:37

Tailoring Density Estimation via Reproducing Kernel Moment Matching

Xinhua Zhang

Jul 28, 2008

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5011 views

Active Learning and Experimental Design

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24:02

Active Kernel Learning

Rong Jin

Jul 28, 2008

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6395 views

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17:05

Learning from Incomplete Data with Infinite Imputations

Uwe Dick

Jul 28, 2008

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3996 views

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23:10

Hierarchical sampling for active learning

Daniel Hsu

Jul 28, 2008

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7039 views

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15:31

Actively Learning Level-Sets of Composite Functions

Brent Bryan

Jul 28, 2008

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4394 views

Structured Output, ILP and Sparsity

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24:26

Training Structural SVMs when Exact Inference is Intractable

Thomas Finley

Jul 28, 2008

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5911 views

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23:27

Laplace Maximum Margin Markov Networks

Jun Zhu

Jul 28, 2008

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5444 views

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22:08

Fast Estimation of Relational Pattern Coverage through Randomization and Maximum...

Ondřej Kuželka

Jul 28, 2008

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3642 views

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22:49

Fast Gaussian Process Methods for Point Process Intensity Estimation

John Cunningham

Aug 7, 2008

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5077 views

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26:00

Discriminative Structure and Parameter Learning for Markov Logic Networks

Tuyen Ngoc Huynh

Jul 28, 2008

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4338 views

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21:59

Accurate Max-margin Training for Structured Output Spaces

Sunita Sarawagi

Jul 28, 2008

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5036 views

Gaussian Processes

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22:53

Topologically-Constrained Latent Variable Models

Raquel Urtasun

Jul 29, 2008

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11424 views

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24:48

Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regressi...

Saharon Rosset

Jul 29, 2008

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4075 views

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24:29

Gaussian Process Product Models for Nonparametric Nonstationarity

Oliver Stegle

Jul 29, 2008

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6472 views

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24:34

Sparse Multiscale Gaussian Process Regression

Christian Walder

Jul 29, 2008

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5516 views

Discriminative vs Generative, and Energy-Based Learning

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26:14

Classification using Discriminative Restricted Boltzmann Machines

Hugo Larochelle

Aug 7, 2008

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10579 views

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25:11

On the Quantitative Analysis of Deep Belief Networks

Ruslan Salakhutdinov

Jul 29, 2008

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6793 views

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22:51

Discriminative Parameter Learning for Bayesian Networks

Jiang Su

Jul 29, 2008

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4980 views

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25:21

Training Restricted Boltzmann Machines using Approximations to the Likelihood Gr...

Tijmen Tieleman

Jul 29, 2008

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12108 views

Topic Models

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18:37

Dirichlet Component Analysis: Feature Extraction for Compositional Data

Hua-Yan Wang

Jul 29, 2008

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4941 views

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22:39

A New Admixture Model for Inference of Population Structure in Light of Both Gen...

Suyash Shringarpure

Jul 29, 2008

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4999 views

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23:02

Memory Bounded Inference in Topic Models

Ryan Gomes

Jul 29, 2008

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3680 views

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26:24

Nonnegative Matrix Factorization via Rank-One Downdate

Ali Ghodsi

Jul 29, 2008

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8177 views

NLP

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24:10

Learning to Sportscast: A Test of Grounded Language Acquisition

David L. Chen

Jul 30, 2008

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5300 views

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20:17

A Unified Architecture for Natural Language Processing: Deep Neural Networks wit...

Ronan Collobert

Jul 30, 2008

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13703 views

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30:12

Structure Compilation: Trading Structure for Features

Percy Liang

Jul 30, 2008

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4126 views

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27:16

Fully Distributed EM for Very Large Datasets

Jason Wolfe

Jul 30, 2008

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3603 views

Graphs

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28:13

The Skew Spectrum of Graphs

Risi Kondor

Aug 7, 2008

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5631 views

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25:13

Message-passing for Graph-structured Linear Programs

Alekh Agarwal

Aug 1, 2008

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4676 views

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23:34

Fast Incremental Proximity Search in Large Graphs

Purnamrita Sarkar

Aug 1, 2008

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5459 views

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22:47

Graph Kernels Between Point Clouds

Francis R. Bach

Aug 1, 2008

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4581 views

Mixture Models, Dirichlet Processes

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20:31

Statistical Models for Partial Membership

Katherine A. Heller

Aug 1, 2008

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4653 views

Draft
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17:51

The Dynamic Hierarchical Dirichlet Process

John Paisley

Aug 1, 2008

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563 views

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27:40

Data Spectroscopy: Learning Mixture Models using Eigenspaces of Convolution Oper...

Mikhail Belkin

Aug 1, 2008

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5410 views

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23:15

Hierarchical Kernel Stick-Breaking Process for Multi-Task Image Analysis

Lawrence Carin

Aug 1, 2008

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5598 views

Semi-supervised Learning - Embeddings and Transduction

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22:32

Graph Transduction via Alternating Minimization

Jun Wang

Aug 1, 2008

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5179 views

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19:29

On Multi-View Active Learning and the Combination with Semi-Supervised Learning

Zhi-Hua Zhou

Aug 1, 2008

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5680 views

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23:22

Large Scale Manifold Transduction

Jason Weston

Aug 1, 2008

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4236 views

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24:43

Semi-supervised Learning of Compact Document Representations with Deep Networks

Martin Szummer

Aug 1, 2008

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4555 views

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21:44

Stability of Transductive Regression Algorithms

Ashish Rastogi

Aug 1, 2008

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3466 views

Semi-supervised Clustering and Classification

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18:55

Pairwise Constraint Propagation by Semidefinite Programming for Semi-Supervised ...

Zhenguo Li

Aug 4, 2008

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4061 views

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33:10

The Asymptotics of Semi-Supervised Learning in Discriminative Probabilistic Mode...

Olivier Cappé

Aug 4, 2008

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3910 views

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15:23

Estimating Labels from Label Proportions

Novi Quadrianto

Aug 4, 2008

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4231 views

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15:57

Self-taught Clustering

Wenyuan Dai

Aug 4, 2008

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6706 views

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25:24

Spectral Clustering with Inconsistent Advice

Tom Coleman

Aug 4, 2008

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3958 views

Ranking and IR

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21:51

Listwise Approach to Learning to Rank - Theory and Algorithm

Tie-Yan Liu

Aug 4, 2008

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9646 views

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32:07

Learning Diverse Rankings with Multi-Armed Bandits

Robert Kleinberg

Aug 6, 2008

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4891 views

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24:18

Predicting Diverse Subsets Using Structural SVMs

Yisong Yue

Aug 4, 2008

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6245 views

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19:43

Rank Minimization via Online Learning

Raghu Meka

Aug 4, 2008

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4747 views

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23:55

Query-Level Stability and Generalization in Learning to Rank

Tie-Yan Liu

Aug 4, 2008

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4243 views

Online Learning

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20:43

The Projectron: a Bounded Kernel-Based Perceptron

Francesco Orabona

Aug 4, 2008

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4959 views

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23:42

Efficient Bandit Algorithms for Online Multiclass Prediction

Shai Shalev-Shwartz

Aug 4, 2008

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4395 views

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24:26

Confidence-Weighted Linear Classification

Fernando C. N. Pereira

Aug 4, 2008

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6539 views

Kernels - Including Scalability

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17:50

Polyhedral Classifier for Target Detection A Case Study

Vikas Raykar

Aug 5, 2008

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3211 views

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23:58

A Dual Coordinate Descent Method for Large-scale Linear SVM

Kai-Wei Chang

Aug 5, 2008

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6639 views

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21:54

Fast Support Vector Machine Training and Classification on Graphics Processors

Bryan Catanzaro

Aug 5, 2008

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9915 views

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23:33

Optimized Cutting Plane Algorithm for Support Vector Machines

Vojtech Franc

Aug 5, 2008

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5706 views

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27:44

Improved Nystrom Low-Rank Approximation and Error Analysis

Kai Zhang

Aug 5, 2008

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5682 views

Clustering

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22:12

A Rate-Distortion One-Class Model and its Applications to Clustering

Partha Pratim Talukdar

Aug 5, 2008

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5908 views

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26:25

Efficient MultiClass Maximum Margin Clustering

Bin Zhao

Aug 5, 2008

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4838 views

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20:48

Estimating Local Optimums in EM Algorithm over Gaussian Mixture Model

Zhenjie Zhang

Aug 5, 2008

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8174 views

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27:06

A Decoupled Approach to Exemplar-based Unsupervised Learning

Sebastian Nowozin

Aug 5, 2008

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3312 views

Distance Learning and Efficient Use

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19:50

Fast Nearest Neighbor Retrieval for Bregman Divergences

Lawrence Cayton

Aug 5, 2008

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4958 views

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25:01

Fast Solvers and Efficient Implementations for Distance Metric Learning

Kilian Q. Weinberger

Aug 5, 2008

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9144 views

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22:57

Nearest Hyperdisk Methods for High-Dimensional Classification

Bill Triggs

Aug 5, 2008

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4294 views

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27:03

Deep Learning via Semi-Supervised Embedding

Frederic Ratle

Aug 5, 2008

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5247 views

Kernel - Including Kernel Learning

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20:35

An RKHS for Multi-View Learning and Manifold Co-Regularization

David S. Rosenberg

Aug 6, 2008

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6189 views

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30:03

Training SVM with Indefinite Kernels

Jieping Ye

Aug 6, 2008

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5114 views

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21:18

Localized Multiple Kernel Learning

Mehmet Gönen

Aug 6, 2008

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7133 views

Draft
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22:18

Composite Kernel Learning

Marie Szafranski

Aug 6, 2008

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1957 views

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21:25

Robust Matching and Recognition using Context-Dependent Kernels

Hichem Sahbi

Aug 6, 2008

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8147 views

Sequence Data

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23:13

A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances

Zhengdong Lu

Aug 6, 2008

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6478 views

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24:29

A Distance Model for Rhythms

Jean-François Paiement

Aug 6, 2008

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4446 views

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27:03

Local Likelihood Modeling of Temporal Text Streams

Guy Lebanon

Aug 7, 2008

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3264 views

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21:10

Sequence Kernels for Predicting Protein Essentiality

Ameet Talwalkar

Aug 6, 2008

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3654 views

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24:37

Causal Modelling Combining Instantaneous and Lagged Effects: an Identifiable Mod...

Aapo Hyvärinen

Aug 6, 2008

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6796 views

Boosting

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21:07

Boosting with Incomplete Information

Yang Wang

Aug 6, 2008

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3593 views

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24:11

Maximum Likelihood Rule Ensembles

Wojciech Kotlowski

Aug 6, 2008

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5175 views

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22:26

Random Classification Noise Defeats All Convex Potential Boosters

Phil Long

Aug 6, 2008

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3584 views

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22:51

Manifold Boost: Stagewise Function Approximation for Fully-, Semi- and Un-superv...

Nicolas Loeff

Aug 6, 2008

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4514 views

Embeddings 1

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23:32

ICA and ISA Using Schweizer-Wolff Measure of Dependence

Sergey Kirshner

Aug 7, 2008

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4240 views

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21:59

Uncorrelated Multilinear Principal Component Analysis through Successive Varianc...

Haiping Lu

Aug 7, 2008

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15502 views

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24:06

Expectation-Maximization for Sparse and Non-Negative PCA

Christian David Sigg

Aug 7, 2008

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6437 views

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24:42

Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo

Ruslan Salakhutdinov

Aug 7, 2008

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12277 views

Multiple Instance Learning and Learning with Missing Features, Categorical Features

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25:58

Multiple Instance Ranking

Charles Bergeron

Aug 7, 2008

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3846 views

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25:00

Learning to Classify with Missing and Corrupted Features

Ohad Shamir

Aug 7, 2008

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3728 views

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20:18

Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive T...

Vikas Raykar

Aug 7, 2008

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5541 views

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20:42

Adaptive p-Posterior Mixture-Model Kernels for Multiple Instance Learning

Hua-Yan Wang

Aug 7, 2008

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3778 views

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25:23

Multi-Classification by Categorical Features via Clustering

Yevgeny Seldin

Aug 7, 2008

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5017 views

Transfer Learning and Games

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18:33

Multi-Task Learning for HIV Therapy Screening

Steffen Bickel

Aug 7, 2008

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3866 views

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22:07

No-Regret Learning in Convex Games

Geoffrey J. Gordon

Aug 7, 2008

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4635 views

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20:05

Learning to Learn Implicit Queries from Gaze Patterns

Kai Puolamäki

Aug 7, 2008

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3241 views

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21:11

Strategy Evaluation in Extensive Games with Importance Sampling

Michael Johanson

Aug 7, 2008

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4483 views

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17:23

Manifold Alignment using Procrustes Analysis

Chang Wang

Aug 7, 2008

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4697 views

Hidden Markov Models

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24:20

Beam Sampling for the Infinite Hidden Markov Model

Jurgen Van Gael

Aug 29, 2008

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8103 views

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23:27

Modeling Interleaved Hidden Processes

Niels Landwehr

Aug 29, 2008

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3368 views

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21:31

Inverting the Viterbi Algorithm: an Abstract Framework for Structure Design

Michael Schnall-Levin

Aug 29, 2008

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4959 views

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23:58

An HDP-HMM for Systems with State Persistence

Emily Fox

Aug 29, 2008

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8174 views

Optimization

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21:56

On Partial Optimality in Multi-label MRFs

Alexander Shekhovtsov

Aug 29, 2008

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3665 views

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18:11

Stopping Conditions for Exact Computation of Leave-One-Out Error in Support Vect...

Pavel Laskov

Aug 29, 2008

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3890 views

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22:39

A Quasi-Newton Approach to Nonsmooth Convex Optimization

Jin Yu

Aug 29, 2008

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6485 views

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22:18

Efficiently Solving Convex Relaxations for MAP Estimation

Pawan Kumar Mudigonda

Aug 29, 2008

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4616 views

Ranking and Classification with Sampling

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28:16

Bayes Optimal Classification for Decision Trees

Siegfried Nijssen

Aug 29, 2008

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5619 views

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24:09

Learning Dissimilarities by Ranking: From SDP to QP

Hua Ouyang

Aug 29, 2008

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3217 views

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24:13

Unsupervised Rank Aggregation with Distance-Based Models

Alexandre Klementiev

Aug 29, 2008

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4571 views

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24:14

Optimizing Estimated Loss Reduction for Active Sampling in Rank Learning

Pinar Donmez

Aug 29, 2008

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5093 views

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23:46

Democratic Approximation of Lexicographic Preference Models

Thomas J. Walsh

Aug 29, 2008

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3225 views

Feature Selection and Sparsity

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22:44

The GroupLASSO for Generalized Linear Models: Uniqueness of Solutions and Effici...

Volker Roth

Aug 29, 2008

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5294 views

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24:12

Sparse Bayesian Nonparametric Regression

François Caron

Aug 29, 2008

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4823 views

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22:31

Detecting Statistical Interactions with Additive Groves of Trees

Daria Sorokina

Aug 29, 2008

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5902 views

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25:39

Bolasso: Model Consistent Lasso Estimation through the Bootstrap

Francis R. Bach

Aug 29, 2008

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5940 views

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20:49

On the Chance Accuracies of Large Collections of Classifiers

Mark Palatucci

Aug 29, 2008

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3624 views

Compressed Sensing and Projections

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17:37

Multi-Task Compressive Sensing with Dirichlet Process Priors

Lawrence Carin

Aug 29, 2008

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6282 views

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07:48

Autonomous Geometric Precision Error Estimation in Low-level Computer Vision Tas...

John Paisley

Aug 29, 2008

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4592 views

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07:59

Efficient Projections onto the L1-Ball for Learning in High Dimensions

Yoram Singer

Aug 29, 2008

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7752 views

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25:01

Compressed Sensing and Bayesian Experimental Design

Matthias W. Seeger,

Hannes Nickisch

Aug 29, 2008

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9655 views

Classification with Sampling, Costs

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24:38

An Empirical Evaluation of Supervised Learning in High Dimensions

Nikos Karampatziakis

Aug 29, 2008

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3975 views

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21:43

Cost-Sensitive Multi-class Classification from Probability Estimates

Deirdre O'Brien

Aug 29, 2008

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4927 views

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23:59

Empirical Bernstein Stopping

Volodymyr Mnih

Aug 29, 2008

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4188 views

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22:15

Pointwise Exact Bootstrap Distributions of Cost Curves

Charles Dugas

Aug 29, 2008

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4396 views

Embeddings 2

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22:12

Metric Embedding for Kernel Classification Rules

Bharath K. Sriperumbudur

Aug 29, 2008

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3651 views

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27:25

Closed-form Supervised Dimensionality Reduction with Generalized Linear Models

Irina Rish

Aug 29, 2008

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4734 views

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26:49

Extracting and Composing Robust Features with Denoising Autoencoders

Pascal Vincent

Aug 29, 2008

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11457 views

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26:50

Subspace-based Learning with Grassmann Kernels

Jihun Hamm

Aug 29, 2008

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5466 views

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22:45

A Least Squares Formulation for Canonical Correlation Analysis

Shuiwang Ji

Aug 29, 2008

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6600 views