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

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

126 Lectures ยท 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/ ----

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Kernels

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16:37

Tailoring Density Estimation via Reproducing Kernel Moment Matching

Xinhua Zhang

Jul 28, 2008

 ยท 

4999 Views

Lecture
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24:08

Nonextensive Entropic Kernels

Andrรฉ F. T. Martins

Jul 28, 2008

 ยท 

3540 Views

Lecture
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22:27

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

Akiko Takeda

Jul 28, 2008

 ยท 

7547 Views

Lecture
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19:38

A Generalization of Haussler's Convolution Kernel - Mapping Kernel

Kilho Shin

Jul 28, 2008

 ยท 

4567 Views

Lecture

Active Learning and Experimental Design

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23:10

Hierarchical sampling for active learning

Daniel Hsu

Jul 28, 2008

 ยท 

7021 Views

Lecture
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24:02

Active Kernel Learning

Rong Jin

Jul 28, 2008

 ยท 

6387 Views

Lecture
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15:31

Actively Learning Level-Sets of Composite Functions

Brent Bryan

Jul 28, 2008

 ยท 

4382 Views

Lecture
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17:05

Learning from Incomplete Data with Infinite Imputations

Uwe Dick

Jul 28, 2008

 ยท 

3986 Views

Lecture

Structured Output, ILP and Sparsity

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21:59

Accurate Max-margin Training for Structured Output Spaces

Sunita Sarawagi

Jul 28, 2008

 ยท 

5021 Views

Lecture
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24:26

Training Structural SVMs when Exact Inference is Intractable

Thomas Finley

Jul 28, 2008

 ยท 

5904 Views

Lecture
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26:00

Discriminative Structure and Parameter Learning for Markov Logic Networks

Tuyen Ngoc Huynh

Jul 28, 2008

 ยท 

4330 Views

Lecture
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23:27

Laplace Maximum Margin Markov Networks

Jun Zhu

Jul 28, 2008

 ยท 

5434 Views

Lecture
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22:08

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

Ondล™ej Kuลพelka

Jul 28, 2008

 ยท 

3635 Views

Lecture
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22:49

Fast Gaussian Process Methods for Point Process Intensity Estimation

John Cunningham

Aug 07, 2008

 ยท 

5057 Views

Lecture

Gaussian Processes

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24:29

Gaussian Process Product Models for Nonparametric Nonstationarity

Oliver Stegle

Jul 29, 2008

 ยท 

6456 Views

Lecture
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24:34

Sparse Multiscale Gaussian Process Regression

Christian Walder

Jul 29, 2008

 ยท 

5504 Views

Lecture
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22:53

Topologically-Constrained Latent Variable Models

Raquel Urtasun

Jul 29, 2008

 ยท 

11382 Views

Lecture
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24:48

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

Saharon Rosset

Jul 29, 2008

 ยท 

4065 Views

Lecture

Discriminative vs Generative, and Energy-Based Learning

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22:51

Discriminative Parameter Learning for Bayesian Networks

Jiang Su

Jul 29, 2008

 ยท 

4971 Views

Lecture
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25:11

On the Quantitative Analysis of Deep Belief Networks

Ruslan Salakhutdinov

Jul 29, 2008

 ยท 

6780 Views

Lecture
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25:21

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

Tijmen Tieleman

Jul 29, 2008

 ยท 

12095 Views

Lecture
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26:14

Classification using Discriminative Restricted Boltzmann Machines

Hugo Larochelle

Aug 07, 2008

 ยท 

10559 Views

Lecture

Topic Models

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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

 ยท 

4991 Views

Lecture
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23:02

Memory Bounded Inference in Topic Models

Ryan Gomes

Jul 29, 2008

 ยท 

3664 Views

Lecture
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26:24

Nonnegative Matrix Factorization via Rank-One Downdate

Ali Ghodsi

Jul 29, 2008

 ยท 

8171 Views

Lecture
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18:37

Dirichlet Component Analysis: Feature Extraction for Compositional Data

Hua-Yan Wang

Jul 29, 2008

 ยท 

4934 Views

Lecture

NLP

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24:10

Learning to Sportscast: A Test of Grounded Language Acquisition

David L. Chen

Jul 30, 2008

 ยท 

5271 Views

Lecture
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20:17

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

Ronan Collobert

Jul 30, 2008

 ยท 

13670 Views

Lecture
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27:16

Fully Distributed EM for Very Large Datasets

Jason Wolfe

Jul 30, 2008

 ยท 

3587 Views

Lecture
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30:12

Structure Compilation: Trading Structure for Features

Percy Liang

Jul 30, 2008

 ยท 

4111 Views

Lecture

Graphs

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22:47

Graph Kernels Between Point Clouds

Francis R. Bach

Aug 01, 2008

 ยท 

4576 Views

Lecture
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25:13

Message-passing for Graph-structured Linear Programs

Alekh Agarwal

Aug 01, 2008

 ยท 

4669 Views

Lecture
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23:34

Fast Incremental Proximity Search in Large Graphs

Purnamrita Sarkar

Aug 01, 2008

 ยท 

5447 Views

Lecture
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28:13

The Skew Spectrum of Graphs

Risi Kondor

Aug 07, 2008

 ยท 

5617 Views

Lecture

Mixture Models, Dirichlet Processes

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20:31

Statistical Models for Partial Membership

Katherine A. Heller

Aug 01, 2008

 ยท 

4646 Views

Lecture
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23:15

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

Lawrence Carin

Aug 01, 2008

 ยท 

5589 Views

Lecture
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27:40

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

Mikhail Belkin

Aug 01, 2008

 ยท 

5397 Views

Lecture

Semi-supervised Learning - Embeddings and Transduction

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24:43

Semi-supervised Learning of Compact Document Representations with Deep Networks

Martin Szummer

Aug 01, 2008

 ยท 

4548 Views

Lecture
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23:22

Large Scale Manifold Transduction

Jason Weston

Aug 01, 2008

 ยท 

4216 Views

Lecture
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22:32

Graph Transduction via Alternating Minimization

Jun Wang

Aug 01, 2008

 ยท 

5168 Views

Lecture
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21:44

Stability of Transductive Regression Algorithms

Ashish Rastogi

Aug 01, 2008

 ยท 

3457 Views

Lecture
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19:29

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

Zhi-Hua Zhou

Aug 01, 2008

 ยท 

5671 Views

Lecture

Semi-supervised Clustering and Classification

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15:23

Estimating Labels from Label Proportions

Novi Quadrianto

Aug 04, 2008

 ยท 

4220 Views

Lecture
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15:57

Self-taught Clustering

Wenyuan Dai

Aug 04, 2008

 ยท 

6696 Views

Lecture
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25:24

Spectral Clustering with Inconsistent Advice

Tom Coleman

Aug 04, 2008

 ยท 

3947 Views

Lecture
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18:55

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

Zhenguo Li

Aug 04, 2008

 ยท 

4054 Views

Lecture
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33:10

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

Olivier Cappรฉ

Aug 04, 2008

 ยท 

3906 Views

Lecture

Ranking and IR

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21:51

Listwise Approach to Learning to Rank - Theory and Algorithm

Tie-Yan Liu

Aug 04, 2008

 ยท 

9620 Views

Lecture
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23:55

Query-Level Stability and Generalization in Learning to Rank

Tie-Yan Liu

Aug 04, 2008

 ยท 

4236 Views

Lecture
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24:18

Predicting Diverse Subsets Using Structural SVMs

Yisong Yue

Aug 04, 2008

 ยท 

6230 Views

Lecture
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32:07

Learning Diverse Rankings with Multi-Armed Bandits

Robert Kleinberg

Aug 06, 2008

 ยท 

4882 Views

Lecture
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19:43

Rank Minimization via Online Learning

Raghu Meka

Aug 04, 2008

 ยท 

4736 Views

Lecture

Online Learning

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24:26

Confidence-Weighted Linear Classification

Fernando C. N. Pereira

Aug 04, 2008

 ยท 

6521 Views

Lecture
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20:43

The Projectron: a Bounded Kernel-Based Perceptron

Francesco Orabona

Aug 04, 2008

 ยท 

4936 Views

Lecture
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23:42

Efficient Bandit Algorithms for Online Multiclass Prediction

Shai Shalev-Shwartz

Aug 04, 2008

 ยท 

4386 Views

Lecture

Kernels - Including Scalability

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23:58

A Dual Coordinate Descent Method for Large-scale Linear SVM

Kai-Wei Chang

Aug 05, 2008

 ยท 

6626 Views

Lecture
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23:33

Optimized Cutting Plane Algorithm for Support Vector Machines

Vojtech Franc

Aug 05, 2008

 ยท 

5693 Views

Lecture
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21:54

Fast Support Vector Machine Training and Classification on Graphics Processors

Bryan Catanzaro

Aug 05, 2008

 ยท 

9904 Views

Lecture
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27:44

Improved Nystrom Low-Rank Approximation and Error Analysis

Kai Zhang

Aug 05, 2008

 ยท 

5659 Views

Lecture
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17:50

Polyhedral Classifier for Target Detection A Case Study

Vikas Raykar

Aug 05, 2008

 ยท 

3200 Views

Lecture

Clustering

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22:12

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

Partha Pratim Talukdar

Aug 05, 2008

 ยท 

5889 Views

Lecture
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20:48

Estimating Local Optimums in EM Algorithm over Gaussian Mixture Model

Zhenjie Zhang

Aug 05, 2008

 ยท 

8166 Views

Lecture
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27:06

A Decoupled Approach to Exemplar-based Unsupervised Learning

Sebastian Nowozin

Aug 05, 2008

 ยท 

3303 Views

Lecture
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26:25

Efficient MultiClass Maximum Margin Clustering

Bin Zhao

Aug 05, 2008

 ยท 

4819 Views

Lecture

Distance Learning and Efficient Use

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25:01

Fast Solvers and Efficient Implementations for Distance Metric Learning

Kilian Q. Weinberger

Aug 05, 2008

 ยท 

9122 Views

Lecture
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22:57

Nearest Hyperdisk Methods for High-Dimensional Classification

Bill Triggs

Aug 05, 2008

 ยท 

4284 Views

Lecture
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19:50

Fast Nearest Neighbor Retrieval for Bregman Divergences

Lawrence Cayton

Aug 05, 2008

 ยท 

4948 Views

Lecture
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27:03

Deep Learning via Semi-Supervised Embedding

Frederic Ratle

Aug 05, 2008

 ยท 

5224 Views

Lecture

Kernel - Including Kernel Learning

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21:18

Localized Multiple Kernel Learning

Mehmet Gรถnen

Aug 06, 2008

 ยท 

7119 Views

Lecture
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30:03

Training SVM with Indefinite Kernels

Jieping Ye

Aug 06, 2008

 ยท 

5106 Views

Lecture
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21:25

Robust Matching and Recognition using Context-Dependent Kernels

Hichem Sahbi

Aug 06, 2008

 ยท 

8137 Views

Lecture
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20:35

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

David S. Rosenberg

Aug 06, 2008

 ยท 

6174 Views

Lecture

Sequence Data

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24:29

A Distance Model for Rhythms

Jean-Franรงois Paiement

Aug 06, 2008

 ยท 

4437 Views

Lecture
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23:13

A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances

Zhengdong Lu

Aug 06, 2008

 ยท 

6468 Views

Lecture
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21:10

Sequence Kernels for Predicting Protein Essentiality

Ameet Talwalkar

Aug 06, 2008

 ยท 

3635 Views

Lecture
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27:03

Local Likelihood Modeling of Temporal Text Streams

Guy Lebanon

Aug 07, 2008

 ยท 

3257 Views

Lecture
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24:37

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

Aapo Hyvรคrinen

Aug 06, 2008

 ยท 

6771 Views

Lecture

Boosting

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22:51

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

Nicolas Loeff

Aug 06, 2008

 ยท 

4508 Views

Lecture
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21:07

Boosting with Incomplete Information

Yang Wang

Aug 06, 2008

 ยท 

3580 Views

Lecture
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24:11

Maximum Likelihood Rule Ensembles

Wojciech Kotlowski

Aug 06, 2008

 ยท 

5165 Views

Lecture
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22:26

Random Classification Noise Defeats All Convex Potential Boosters

Phil Long

Aug 06, 2008

 ยท 

3565 Views

Lecture

Embeddings 1

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21:59

Uncorrelated Multilinear Principal Component Analysis through Successive Varianc...

Haiping Lu

Aug 07, 2008

 ยท 

15475 Views

Lecture
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24:06

Expectation-Maximization for Sparse and Non-Negative PCA

Christian David Sigg

Aug 07, 2008

 ยท 

6420 Views

Lecture
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23:32

ICA and ISA Using Schweizer-Wolff Measure of Dependence

Sergey Kirshner

Aug 07, 2008

 ยท 

4231 Views

Lecture
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24:42

Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo

Ruslan Salakhutdinov

Aug 07, 2008

 ยท 

12254 Views

Lecture

Multiple Instance Learning and Learning with Missing Features, Categorical Features

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20:42

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

Hua-Yan Wang

Aug 07, 2008

 ยท 

3772 Views

Lecture
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25:58

Multiple Instance Ranking

Charles Bergeron

Aug 07, 2008

 ยท 

3839 Views

Lecture
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20:18

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

Vikas Raykar

Aug 07, 2008

 ยท 

5530 Views

Lecture
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25:00

Learning to Classify with Missing and Corrupted Features

Ohad Shamir

Aug 07, 2008

 ยท 

3714 Views

Lecture
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25:23

Multi-Classification by Categorical Features via Clustering

Yevgeny Seldin

Aug 07, 2008

 ยท 

5006 Views

Lecture

Transfer Learning and Games

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20:05

Learning to Learn Implicit Queries from Gaze Patterns

Kai Puolamรคki

Aug 07, 2008

 ยท 

3222 Views

Lecture
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18:33

Multi-Task Learning for HIV Therapy Screening

Steffen Bickel

Aug 07, 2008

 ยท 

3854 Views

Lecture
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17:23

Manifold Alignment using Procrustes Analysis

Chang Wang

Aug 07, 2008

 ยท 

4689 Views

Lecture
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22:07

No-Regret Learning in Convex Games

Geoffrey J. Gordon

Aug 07, 2008

 ยท 

4623 Views

Lecture
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21:11

Strategy Evaluation in Extensive Games with Importance Sampling

Michael Johanson

Aug 07, 2008

 ยท 

4470 Views

Lecture

Hidden Markov Models

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21:31

Inverting the Viterbi Algorithm: an Abstract Framework for Structure Design

Michael Schnall-Levin

Aug 29, 2008

 ยท 

4951 Views

Lecture
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23:58

An HDP-HMM for Systems with State Persistence

Emily Fox

Aug 29, 2008

 ยท 

8154 Views

Lecture
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23:27

Modeling Interleaved Hidden Processes

Niels Landwehr

Aug 29, 2008

 ยท 

3355 Views

Lecture
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24:20

Beam Sampling for the Infinite Hidden Markov Model

Jurgen Van Gael

Aug 29, 2008

 ยท 

8090 Views

Lecture

Optimization

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22:18

Efficiently Solving Convex Relaxations for MAP Estimation

Pawan Kumar Mudigonda

Aug 29, 2008

 ยท 

4603 Views

Lecture
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22:39

A Quasi-Newton Approach to Nonsmooth Convex Optimization

Jin Yu

Aug 29, 2008

 ยท 

6470 Views

Lecture
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18:11

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

Pavel Laskov

Aug 29, 2008

 ยท 

3883 Views

Lecture
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21:56

On Partial Optimality in Multi-label MRFs

Alexander Shekhovtsov

Aug 29, 2008

 ยท 

3652 Views

Lecture

Ranking and Classification with Sampling

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23:46

Democratic Approximation of Lexicographic Preference Models

Thomas J. Walsh

Aug 29, 2008

 ยท 

3214 Views

Lecture
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24:13

Unsupervised Rank Aggregation with Distance-Based Models

Alexandre Klementiev

Aug 29, 2008

 ยท 

4503 Views

Lecture
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24:09

Learning Dissimilarities by Ranking: From SDP to QP

Hua Ouyang

Aug 29, 2008

 ยท 

3211 Views

Lecture
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24:14

Optimizing Estimated Loss Reduction for Active Sampling in Rank Learning

Pinar Donmez

Aug 29, 2008

 ยท 

5084 Views

Lecture
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28:16

Bayes Optimal Classification for Decision Trees

Siegfried Nijssen

Aug 29, 2008

 ยท 

5612 Views

Lecture

Feature Selection and Sparsity

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22:31

Detecting Statistical Interactions with Additive Groves of Trees

Daria Sorokina

Aug 29, 2008

 ยท 

5886 Views

Lecture
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24:12

Sparse Bayesian Nonparametric Regression

Franรงois Caron

Aug 29, 2008

 ยท 

4813 Views

Lecture
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25:39

Bolasso: Model Consistent Lasso Estimation through the Bootstrap

Francis R. Bach

Aug 29, 2008

 ยท 

5933 Views

Lecture
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22:44

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

Volker Roth

Aug 29, 2008

 ยท 

5284 Views

Lecture
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20:49

On the Chance Accuracies of Large Collections of Classifiers

Mark Palatucci

Aug 29, 2008

 ยท 

3613 Views

Lecture

Compressed Sensing and Projections

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07:48

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

John Paisley

Aug 29, 2008

 ยท 

4580 Views

Lecture
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17:37

Multi-Task Compressive Sensing with Dirichlet Process Priors

Lawrence Carin

Aug 29, 2008

 ยท 

6270 Views

Lecture
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25:01

Compressed Sensing and Bayesian Experimental Design

Matthias W. Seeger,

Hannes Nickisch

Aug 29, 2008

 ยท 

9644 Views

Lecture
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07:59

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

Yoram Singer

Aug 29, 2008

 ยท 

7737 Views

Lecture

Classification with Sampling, Costs

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23:59

Empirical Bernstein Stopping

Volodymyr Mnih

Aug 29, 2008

 ยท 

4174 Views

Lecture
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22:15

Pointwise Exact Bootstrap Distributions of Cost Curves

Charles Dugas

Aug 29, 2008

 ยท 

4387 Views

Lecture
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24:38

An Empirical Evaluation of Supervised Learning in High Dimensions

Nikos Karampatziakis

Aug 29, 2008

 ยท 

3966 Views

Lecture
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21:43

Cost-Sensitive Multi-class Classification from Probability Estimates

Deirdre O'Brien

Aug 29, 2008

 ยท 

4912 Views

Lecture

Embeddings 2

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22:45

A Least Squares Formulation for Canonical Correlation Analysis

Shuiwang Ji

Aug 29, 2008

 ยท 

6589 Views

Lecture
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27:25

Closed-form Supervised Dimensionality Reduction with Generalized Linear Models

Irina Rish

Aug 29, 2008

 ยท 

4725 Views

Lecture
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26:50

Subspace-based Learning with Grassmann Kernels

Jihun Hamm

Aug 29, 2008

 ยท 

5453 Views

Lecture
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22:12

Metric Embedding for Kernel Classification Rules

Bharath K. Sriperumbudur

Aug 29, 2008

 ยท 

3642 Views

Lecture
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26:49

Extracting and Composing Robust Features with Denoising Autoencoders

Pascal Vincent

Aug 29, 2008

 ยท 

11418 Views

Lecture