Sessions

Sessions

117 Lectures · Jul 28, 2009

Uploaded videos:

Clustering Geometry

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20:54

Solution Stability in Linear Programming Relaxations: Graph Partitioning and Uns...

Sebastian Nowozin

Aug 26, 2009

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3563 Views

Lecture
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19:09

A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data

Meghana Deodhar

Aug 26, 2009

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4099 Views

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19:01

Multi-View Clustering via Canonical Correlation Analysis

Kamalika Chaudhuri

Aug 26, 2009

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5143 Views

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19:42

Spectral Clustering Based on the Graph p-Laplacian

Thomas Bühler

Aug 26, 2009

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6265 Views

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20:15

Nearest Neighbors in High-Dimensional Data: The Emergence and Influence of Hubs

Miloš Radovanović

Aug 26, 2009

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5420 Views

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Exploration in Reinforcement Learning

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19:09

The Adaptive k-Meteorologists Problem and Its Application to Structure Learning ...

Carlos Diuk

Aug 26, 2009

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4271 Views

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19:41

Near-Bayesian Exploration in Polynomial Time

J. Zico Kolter

Aug 26, 2009

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3362 Views

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18:27

Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Fac...

Istvan Szita

Aug 26, 2009

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3070 Views

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25:05

Dynamic Analysis of Multiagent Q-learning with e-greedy Exploration

Eduardo Rodrigues Gomes

Aug 26, 2009

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4473 Views

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20:57

Hoeffding and Bernstein Races for Selecting Policies in Evolutionary Direct Poli...

Christian Igel

Aug 26, 2009

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4154 Views

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Online Learning

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18:45

A Simpler Unified Analysis of Budget Perceptrons

Ilya Sutskever

Aug 26, 2009

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5502 Views

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22:55

Efficient Learning Algorithms for Changing Environments

Comandur Seshadhri

Aug 26, 2009

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3336 Views

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21:54

Online Learning by Ellipsoid Method

Liu Yang

Aug 26, 2009

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5761 Views

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21:12

Learning Prediction Suffix Trees with Winnow

Nikos Karampatziakis

Aug 26, 2009

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4750 Views

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21:31

Identifying Suspicious URLs: An Application of Large-Scale Online Learning

Justin Ma

Aug 26, 2009

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3655 Views

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Ranking

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22:50

Ranking with Ordered Weighted Pairwise Classification

Nicolas Usunier

Aug 26, 2009

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4972 Views

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19:19

BoltzRank: Learning to Maximize Expected Ranking Gain

Maksims Volkovs

Aug 26, 2009

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4541 Views

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22:40

Decision Tree and Instance-Based Learning for Label Ranking

Weiwei Cheng

Aug 26, 2009

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9589 Views

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25:32

Ranking Interesting Subgroups

Stefan Rüping

Aug 26, 2009

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3021 Views

Lecture
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24:12

Generalization Analysis of Listwise Learning-to-Rank Algorithms

Hang Li

Aug 26, 2009

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4425 Views

Lecture

Graphs and Embeddings

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20:38

Fitting a Graph to Vector Data

Samuel I. Daitch

Aug 26, 2009

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4013 Views

Lecture
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16:32

Structure Preserving Embedding

Blake Shaw

Aug 26, 2009

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5937 Views

Lecture
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22:58

Graph Construction and b-Matching for Semi-Supervised Learning

Tony Jebara

Aug 26, 2009

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5708 Views

Lecture
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17:58

Partial Order Embedding with Multiple Kernels

Brian McFee

Aug 26, 2009

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3267 Views

Lecture
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16:39

Probabilistic Dyadic Data Analysis with Local and Global Consistency

Vikas Raykar

Aug 26, 2009

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3828 Views

Lecture

Gaussian Processes

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21:39

Non-Linear Matrix Factorization with Gaussian Processes

Raquel Urtasun

Aug 26, 2009

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10919 Views

Lecture
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18:55

Analytic Moment-Based Gaussian Process Filtering

Marc Peter Deisenroth

Aug 26, 2009

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3738 Views

Lecture
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20:42

Function Factorization Using Warped Gaussian Processes

Mikkel N. Schmidt

Aug 26, 2009

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4668 Views

Lecture
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23:36

Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Pr...

Ryan Prescott Adams

Aug 26, 2009

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5924 Views

Lecture
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24:26

Large-Scale Collaborative Prediction Using a Nonparametric Random Effects Model

Kai Yu

Aug 26, 2009

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3730 Views

Lecture

Dynamical Systems

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12:56

Hilbert Space Embeddings of Conditional Distributions with Applications to Dynam...

Le Song

Aug 26, 2009

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4926 Views

Lecture
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21:53

Learning Nonlinear Dynamic Models

Ruslan Salakhutdinov

Aug 26, 2009

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4010 Views

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20:28

Learning Linear Dynamical Systems without Sequence Information

Tzu-Kuo Huang

Aug 26, 2009

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3582 Views

Lecture
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15:48

Dynamic Mixed Membership Block Model for Evolving Networks

Le Song

Sep 17, 2009

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3840 Views

Lecture

Learning Codebooks and Dictionaries

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19:24

Gradient Descent with Sparsification: An Iterative Algorithm for Sparse Recovery ...

Rahul Garg

Aug 26, 2009

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5156 Views

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19:08

Learning Dictionaries of Stable Autoregressive Models for Audio Scene Analysis

Youngmin Cho

Aug 26, 2009

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2959 Views

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21:55

Online Dictionary Learning for Sparse Coding

Julien Mairal

Aug 26, 2009

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34786 Views

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20:33

Learning Non-Redundant Codebooks for Classifying Complex Objects

Wei Zhang

Aug 26, 2009

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3779 Views

Lecture
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18:56

Prototype Vector Machine for Large Scale Semi-Supervised Learning

Kai Zhang

Aug 26, 2009

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3357 Views

Lecture

Clustering Algorithms

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24:46

Multi-Assignment Clustering for Boolean Data

Mario Frank

Aug 26, 2009

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5579 Views

Lecture
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25:03

K-Means in Space: A Radiation Sensitivity Evaluation

Kiri L. Wagstaff

Aug 26, 2009

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3822 Views

Lecture
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19:32

Information Theoretic Measures for Clusterings Comparison: Is a Correction for C...

Nguyen Xuan Vinh

Aug 26, 2009

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4010 Views

Lecture
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26:51

Discriminative k-Metrics

Arthur Szlam

Aug 26, 2009

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3601 Views

Lecture

Inference in Probabilistic Models

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20:31

Orbit-Product Representation and Correction of Gaussian Belief Propagation

Jason K. Johnson

Aug 26, 2009

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3029 Views

Lecture
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17:21

Convex Variational Bayesian Inference for Large Scale Generalized Linear Models

Hannes Nickisch

Aug 26, 2009

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5358 Views

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19:27

Archipelago: Nonparametric Bayesian Semi-Supervised Learning

Ryan Prescott Adams

Aug 26, 2009

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4753 Views

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19:08

The Bayesian Group-Lasso for Analyzing Contingency Tables

Sudhir Raman

Aug 26, 2009

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3947 Views

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18:43

Split Variational Inference

Onno Zoeter

Aug 26, 2009

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3259 Views

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Reinforcement Learning with Temporal Differences

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23:10

Proto-Predictive Representation of States with Simple Recurrent Temporal-Differe...

Takaki Makino

Sep 17, 2009

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2815 Views

Lecture
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23:12

Regularization and Feature Selection in Least Squares Temporal-Difference Learni...

J. Zico Kolter

Sep 17, 2009

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4043 Views

Lecture
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24:31

Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Funct...

Richard S. Sutton

Sep 17, 2009

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7444 Views

Lecture
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19:29

Kernelized Value Function Approximation for Reinforcement Learning

Gavin Taylor

Aug 26, 2009

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3095 Views

Lecture
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24:30

Constraint Relaxation in Approximate Linear Programs

Marek Petrik

Aug 26, 2009

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2658 Views

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Topic Models

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25:02

Evaluation Methods for Topic Models

Hanna M. Wallach

Aug 26, 2009

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6787 Views

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18:49

Accounting for Burstiness in Topic Models

Gabriel Doyle

Aug 26, 2009

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4835 Views

Lecture
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18:46

Topic-Link LDA: Joint Models of Topic and Author Community

Yan Liu

Aug 26, 2009

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13663 Views

Lecture
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22:25

MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification

Jun Zhu

Aug 26, 2009

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4150 Views

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22:46

Independent Factor Topic Models

Duangmanee (Pew) Putthividhya

Aug 26, 2009

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3872 Views

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Weak Supervision

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24:08

Semi-Supervised Learning Using Label Mean

Yu-Feng Li

Aug 26, 2009

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4671 Views

Lecture
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20:44

Partially Supervised Feature Selection with Regularized Linear Models

Thibault Helleputte

Aug 26, 2009

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3639 Views

Lecture
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22:51

Optimal Reverse Prediction: A Unified Perspective on Supervised, Unsupervised an...

Linli Xu

Aug 26, 2009

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4139 Views

Lecture
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06:05

Supervised Learning from Multiple Experts: Whom to Trust When Everyone Lies a Bi...

Vikas Raykar

Aug 26, 2009

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4353 Views

Lecture
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21:32

Good Learners for Evil Teachers

Ofer Dekel

Aug 26, 2009

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3920 Views

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Lassos and other L1s

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24:38

Stochastic Methods for L1 Regularized Loss Minimization

Ambuj Tewari

Aug 26, 2009

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4144 Views

Lecture
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21:47

Blockwise Coordinate Descent Procedures for the Multi-Task Lasso with Applicatio...

Mark Palatucci

Aug 26, 2009

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4441 Views

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17:03

An Efficient Projection for L1 Infinity Regularization

Ariadna Quattoni

Aug 26, 2009

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7278 Views

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24:50

An Accelerated Gradient Method for Trace Norm Minimization

Shuiwang Ji

Aug 26, 2009

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4290 Views

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24:58

Group Lasso with Overlaps and Graph Lasso

Laurent Jacob

Aug 26, 2009

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8741 Views

Lecture

Document Collections

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23:33

Bayesian Clustering for Email Campaign Detection

Peter Haider

Aug 26, 2009

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3630 Views

Lecture
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26:05

A Novel Lexicalized HMM-Based Learning Framework for Web Opinion Mining

Wei Jin

Aug 26, 2009

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4456 Views

Lecture
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22:02

Learning Spectral Graph Transformations for Link Prediction

Jérôme Kunegis

Aug 26, 2009

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4057 Views

Lecture
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22:33

Interactively Optimizing Information Retrieval Systems as a Dueling Bandits Prob...

Yisong Yue

Aug 26, 2009

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4520 Views

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21:20

Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Mod...

Aug 26, 2009

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5056 Views

Lecture

Food for Thought

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22:18

Curriculum Learning

Yoshua Bengio

Aug 26, 2009

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8069 Views

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17:25

Sequential Bayesian Prediction in the Presence of Changepoints

Michael Osborne

Aug 26, 2009

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4701 Views

Lecture
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21:36

Model-Free Reinforcement Learning as Mixture Learning

Nikos Vlassis

Aug 26, 2009

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3682 Views

Lecture
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20:41

Active Learning for Directed Exploration of Complex Systems

Michael C. Burl

Aug 26, 2009

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3055 Views

Lecture

Priors in Probabilistic Models

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22:10

Bayesian Inference for Plackett-Luce Ranking Models

John Guiver

Aug 26, 2009

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4604 Views

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22:02

Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors

David Andrzejewski

Aug 26, 2009

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5528 Views

Lecture
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16:25

Nonparametric Factor Analysis with Beta Process Priors

John Paisley

Sep 17, 2009

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6512 Views

Lecture
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17:31

Accelerated Gibbs Sampling for the Indian Buffet Process

Finale Doshi

Aug 26, 2009

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6556 Views

Lecture
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24:59

A Stochastic Memoizer for Sequence Data

Frank Wood

Aug 26, 2009

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6514 Views

Lecture

Reinforcement Learning in High Order Environments

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21:58

Binary Action Search for Learning Continuous-Action Control Policies

Jason Pazis

Aug 26, 2009

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4478 Views

Lecture
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22:35

Predictive Representations for Policy Gradient in POMDPs

Abdeslam Boularias

Aug 26, 2009

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3747 Views

Lecture
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21:58

Stochastic Search Using the Natural Gradient

Sun Yi

Aug 26, 2009

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4665 Views

Lecture
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21:09

Approximate Inference for Planning in Stochastic Relational Worlds

Tobias Lang

Aug 26, 2009

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3251 Views

Lecture
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28:33

Discovering Options from Example Trajectories

Peng Zang

Aug 26, 2009

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2980 Views

Lecture

Learning Theory

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22:45

Nonparametric Estimation of the Precision-Recall Curve

Nicolas Vayatis

Aug 26, 2009

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3967 Views

Lecture
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20:52

Surrogate Regret Bounds for Proper Losses

Mark Reid

Aug 26, 2009

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3137 Views

Lecture
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19:58

Robust Bounds for Classification via Selective Sampling

Francesco Orabona

Aug 26, 2009

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3897 Views

Lecture
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24:21

PAC-Bayesian Learning of Linear Classifiers

Mario Marchand

Aug 26, 2009

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4126 Views

Lecture
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20:32

Piecewise-Stationary Bandit Problems with Side Observations

Jia Yuan Yu

Aug 26, 2009

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2822 Views

Lecture

Paul Utgoff Memorial Session: Learning for Discrete Problems

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19:41

Bandit-Based Optimization on Graphs with Application to Library Performance Tuni...

Arpad Rimmel

Aug 26, 2009

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3091 Views

Lecture
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20:02

Robust Feature Extraction via Information Theoretic Learning

Xiao-Tong Yuan

Aug 26, 2009

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3352 Views

Lecture
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22:00

Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibil...

Ondřej Kuželka

Aug 26, 2009

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2794 Views

Lecture
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19:40

Rule Learning with Monotonicity Constraints

Wojciech Kotlowski

Aug 26, 2009

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2764 Views

Lecture
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16:26

Grammatical Inference as a Principal Component Analysis Problem

Raphaël Bailly

Aug 26, 2009

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3312 Views

Lecture

Structured Learning: Metric Learning

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23:02

Polyhedral Outer Approximations with Application to Natural Language Parsing

André F. T. Martins

Sep 17, 2009

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2967 Views

Lecture
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12:34

On Primal and Dual Sparsity of Markov Networks

Jun Zhu

Sep 17, 2009

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3014 Views

Lecture
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22:50

Learning Structural SVMs with Latent Variables

Chun-Nam Yu

Sep 17, 2009

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10146 Views

Lecture
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11:23

An Efficient Sparse Metric Learning in High-Dimensional Space via L1-Penalized L...

Guo-Jun Qi

Sep 17, 2009

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4666 Views

Lecture
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20:17

Learning Instance Specific Distances Using Metric Propagation

De-Chuan Zhan

Sep 18, 2009

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3071 Views

Lecture

Deep Architectures

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19:52

Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarc...

Honglak Lee

Aug 26, 2009

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27374 Views

Lecture
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21:08

Using Fast Weights to Improve Persistent Contrastive Divergence

Tijmen Tieleman

Aug 26, 2009

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7824 Views

Lecture
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19:19

Large-Scale Deep Unsupervised Learning Using Graphics Processors

Rajat Raina

Aug 26, 2009

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5524 Views

Lecture
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20:46

Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style

Graham Taylor

Aug 26, 2009

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7106 Views

Lecture
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18:07

Deep Learning from Temporal Coherence in Video

Ronan Collobert

Aug 26, 2009

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6742 Views

Lecture

Learning Actions and Sequences

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25:04

Robot Trajectory Optimization Using Approximate Inference

Marc Toussaint

Aug 26, 2009

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4429 Views

Lecture
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18:04

Trajectory Prediction: Learning to Map Situations to Robot Trajectories

Nikolay Jetchev

Aug 26, 2009

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3442 Views

Lecture
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21:33

Learning Complex Motions by Sequencing Simpler Motion Templates

Gerhard Neumann

Aug 26, 2009

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2991 Views

Lecture
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23:21

Learning When to Stop Thinking and Do Something!

Barnabás Póczos

Aug 26, 2009

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3636 Views

Lecture
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35:22

Monte-Carlo Simulation Balancing

David Silver

Aug 26, 2009

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5165 Views

Lecture

Boosting

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20:20

Boosting Products of Base Classifiers

Balázs Kégl

Aug 26, 2009

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3708 Views

Lecture
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20:40

ABC-Boost: Adaptive Base Class Boost for Multi-Class Classification

Ping Li

Aug 26, 2009

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3763 Views

Lecture
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22:07

Compositional Noisy-Logical Learning

Alan L. Yuille

Aug 26, 2009

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3034 Views

Lecture
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22:15

Boosting with Structural Sparsity

John Duchi

Aug 26, 2009

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3960 Views

Lecture
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25:53

Learning with Structured Sparsity

Junzhou Huang

Aug 26, 2009

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6130 Views

Lecture