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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4570 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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7557 views

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24:08

Nonextensive Entropic Kernels

André F. T. Martins

Jul 28, 2008

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3544 views

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16:37

Tailoring Density Estimation via Reproducing Kernel Moment Matching

Xinhua Zhang

Jul 28, 2008

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5007 views

Active Learning and Experimental Design

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24:02

Active Kernel Learning

Rong Jin

Jul 28, 2008

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6394 views

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17:05

Learning from Incomplete Data with Infinite Imputations

Uwe Dick

Jul 28, 2008

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3990 views

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23:10

Hierarchical sampling for active learning

Daniel Hsu

Jul 28, 2008

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7030 views

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15:31

Actively Learning Level-Sets of Composite Functions

Brent Bryan

Jul 28, 2008

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4391 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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5439 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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3639 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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5065 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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4336 views

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21:59

Accurate Max-margin Training for Structured Output Spaces

Sunita Sarawagi

Jul 28, 2008

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5030 views

Gaussian Processes

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22:53

Topologically-Constrained Latent Variable Models

Raquel Urtasun

Jul 29, 2008

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11408 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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4072 views

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24:29

Gaussian Process Product Models for Nonparametric Nonstationarity

Oliver Stegle

Jul 29, 2008

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6469 views

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24:34

Sparse Multiscale Gaussian Process Regression

Christian Walder

Jul 29, 2008

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5513 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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10564 views

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25:11

On the Quantitative Analysis of Deep Belief Networks

Ruslan Salakhutdinov

Jul 29, 2008

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6789 views

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22:51

Discriminative Parameter Learning for Bayesian Networks

Jiang Su

Jul 29, 2008

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4976 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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12102 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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4939 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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4996 views

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23:02

Memory Bounded Inference in Topic Models

Ryan Gomes

Jul 29, 2008

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3671 views

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26:24

Nonnegative Matrix Factorization via Rank-One Downdate

Ali Ghodsi

Jul 29, 2008

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8175 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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5290 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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13696 views

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30:12

Structure Compilation: Trading Structure for Features

Percy Liang

Jul 30, 2008

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4121 views

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27:16

Fully Distributed EM for Very Large Datasets

Jason Wolfe

Jul 30, 2008

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3593 views

Graphs

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28:13

The Skew Spectrum of Graphs

Risi Kondor

Aug 7, 2008

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5625 views

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25:13

Message-passing for Graph-structured Linear Programs

Alekh Agarwal

Aug 1, 2008

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4675 views

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23:34

Fast Incremental Proximity Search in Large Graphs

Purnamrita Sarkar

Aug 1, 2008

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5450 views

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22:47

Graph Kernels Between Point Clouds

Francis R. Bach

Aug 1, 2008

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4579 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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4652 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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5406 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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5177 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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5676 views

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23:22

Large Scale Manifold Transduction

Jason Weston

Aug 1, 2008

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4228 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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4552 views

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21:44

Stability of Transductive Regression Algorithms

Ashish Rastogi

Aug 1, 2008

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3464 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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4058 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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4226 views

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15:57

Self-taught Clustering

Wenyuan Dai

Aug 4, 2008

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6703 views

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25:24

Spectral Clustering with Inconsistent Advice

Tom Coleman

Aug 4, 2008

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3956 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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9633 views

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32:07

Learning Diverse Rankings with Multi-Armed Bandits

Robert Kleinberg

Aug 6, 2008

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4884 views

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24:18

Predicting Diverse Subsets Using Structural SVMs

Yisong Yue

Aug 4, 2008

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6238 views

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19:43

Rank Minimization via Online Learning

Raghu Meka

Aug 4, 2008

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4744 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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4241 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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4955 views

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23:42

Efficient Bandit Algorithms for Online Multiclass Prediction

Shai Shalev-Shwartz

Aug 4, 2008

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4391 views

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24:26

Confidence-Weighted Linear Classification

Fernando C. N. Pereira

Aug 4, 2008

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6536 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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3207 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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6633 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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9908 views

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23:33

Optimized Cutting Plane Algorithm for Support Vector Machines

Vojtech Franc

Aug 5, 2008

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5698 views

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27:44

Improved Nystrom Low-Rank Approximation and Error Analysis

Kai Zhang

Aug 5, 2008

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5669 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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5903 views

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26:25

Efficient MultiClass Maximum Margin Clustering

Bin Zhao

Aug 5, 2008

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4827 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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8169 views

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27:06

A Decoupled Approach to Exemplar-based Unsupervised Learning

Sebastian Nowozin

Aug 5, 2008

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3309 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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4955 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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9134 views

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22:57

Nearest Hyperdisk Methods for High-Dimensional Classification

Bill Triggs

Aug 5, 2008

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4292 views

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27:03

Deep Learning via Semi-Supervised Embedding

Frederic Ratle

Aug 5, 2008

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5241 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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6183 views

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30:03

Training SVM with Indefinite Kernels

Jieping Ye

Aug 6, 2008

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5112 views

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21:18

Localized Multiple Kernel Learning

Mehmet Gönen

Aug 6, 2008

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7127 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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8145 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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6475 views

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24:29

A Distance Model for Rhythms

Jean-François Paiement

Aug 6, 2008

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4444 views

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27:03

Local Likelihood Modeling of Temporal Text Streams

Guy Lebanon

Aug 7, 2008

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3262 views

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21:10

Sequence Kernels for Predicting Protein Essentiality

Ameet Talwalkar

Aug 6, 2008

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3642 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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6792 views

Boosting

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21:07

Boosting with Incomplete Information

Yang Wang

Aug 6, 2008

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3588 views

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24:11

Maximum Likelihood Rule Ensembles

Wojciech Kotlowski

Aug 6, 2008

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5173 views

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22:26

Random Classification Noise Defeats All Convex Potential Boosters

Phil Long

Aug 6, 2008

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3576 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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4513 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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4234 views

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21:59

Uncorrelated Multilinear Principal Component Analysis through Successive Varianc...

Haiping Lu

Aug 7, 2008

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15493 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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6425 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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12266 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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3843 views

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25:00

Learning to Classify with Missing and Corrupted Features

Ohad Shamir

Aug 7, 2008

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3720 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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5537 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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3776 views

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25:23

Multi-Classification by Categorical Features via Clustering

Yevgeny Seldin

Aug 7, 2008

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5014 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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3858 views

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22:07

No-Regret Learning in Convex Games

Geoffrey J. Gordon

Aug 7, 2008

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4629 views

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20:05

Learning to Learn Implicit Queries from Gaze Patterns

Kai Puolamäki

Aug 7, 2008

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3233 views

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21:11

Strategy Evaluation in Extensive Games with Importance Sampling

Michael Johanson

Aug 7, 2008

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4482 views

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17:23

Manifold Alignment using Procrustes Analysis

Chang Wang

Aug 7, 2008

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4693 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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8097 views

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23:27

Modeling Interleaved Hidden Processes

Niels Landwehr

Aug 29, 2008

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3362 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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4957 views

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23:58

An HDP-HMM for Systems with State Persistence

Emily Fox

Aug 29, 2008

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8166 views

Optimization

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21:56

On Partial Optimality in Multi-label MRFs

Alexander Shekhovtsov

Aug 29, 2008

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3658 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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3888 views

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22:39

A Quasi-Newton Approach to Nonsmooth Convex Optimization

Jin Yu

Aug 29, 2008

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6476 views

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22:18

Efficiently Solving Convex Relaxations for MAP Estimation

Pawan Kumar Mudigonda

Aug 29, 2008

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4611 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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5617 views

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24:09

Learning Dissimilarities by Ranking: From SDP to QP

Hua Ouyang

Aug 29, 2008

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3214 views

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24:13

Unsupervised Rank Aggregation with Distance-Based Models

Alexandre Klementiev

Aug 29, 2008

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4554 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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5088 views

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23:46

Democratic Approximation of Lexicographic Preference Models

Thomas J. Walsh

Aug 29, 2008

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3219 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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5292 views

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24:12

Sparse Bayesian Nonparametric Regression

François Caron

Aug 29, 2008

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4818 views

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22:31

Detecting Statistical Interactions with Additive Groves of Trees

Daria Sorokina

Aug 29, 2008

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5891 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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5938 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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3620 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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6278 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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4586 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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7749 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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9650 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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3969 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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4915 views

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23:59

Empirical Bernstein Stopping

Volodymyr Mnih

Aug 29, 2008

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4182 views

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22:15

Pointwise Exact Bootstrap Distributions of Cost Curves

Charles Dugas

Aug 29, 2008

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4390 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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3647 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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4730 views

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26:49

Extracting and Composing Robust Features with Denoising Autoencoders

Pascal Vincent

Aug 29, 2008

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11449 views

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26:50

Subspace-based Learning with Grassmann Kernels

Jihun Hamm

Aug 29, 2008

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5463 views

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22:45

A Least Squares Formulation for Canonical Correlation Analysis

Shuiwang Ji

Aug 29, 2008

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6597 views