About
The goal of this workshop is to bring together researchers from both industry and academia to share their experiences of implementing large-scale applications of online learning and online decision-making. A selection of example applications includes banner advertisement selection, news story selection, targeted email, and recommender systems. The workshop will focus on the scalability of current online methods to large-scale implementations that are of practical value to industry. Relevant methods include exploration/exploitation trade-offs (e.g. contextual bandits), large-scale gradient descent, parallelization, collaborative filtering, unsupervised feature learning and dimensionality reduction.
For more information visit the Workshop website.
Videos
Keynotes

Counterfactual Reasoning and Learning Systems
May 28, 2013
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3759 views

Some Recent Bandit Results
May 28, 2013
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4009 views

Learning in the Loop
May 28, 2013
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5488 views
Lectures

Online Reinforcement Learning from Concurrent Customer Interaction Sequences
May 28, 2013
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4180 views

Multi Period Information Retrieval and Optimal Relevance Feedback using Dynamic ...
May 28, 2013
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3115 views

Real-time Decisions in the Real World
May 28, 2013
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2594 views

Multi-Label Learning with Millions of Categories
May 28, 2013
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3282 views

Large Scale Recommender System for The One Class Problem
May 28, 2013
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3335 views

Lessons from Exploration and Exploitation Challenges
May 28, 2013
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2141 views

The optimistic principle for online planning in Markov decision processes
May 28, 2013
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2644 views

Scalable Tensor Decompositions for Learning Hidden Variable Models
May 28, 2013
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3557 views

Large-Scale Mining of Medical Text- a Hybrid Statistical/Semantic Approach
May 28, 2013
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2802 views

A Top-down Approach to Feature Selection in Reinforcement Learning
May 28, 2013
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3599 views

Bayesian Online Event Detection
May 28, 2013
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3495 views

Putting Bayes to Sleep
May 28, 2013
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3102 views

Learning from a Few labels and a Stream of Unlabeled Data
May 29, 2013
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3273 views

Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
May 28, 2013
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2856 views

Asymptotic Statistical Analysis of Time Series: Clustering, Change Point, and Ot...
May 28, 2013
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2774 views

Large Scale Image Segmentation for Mapping the Connectivity of Real Biological N...
May 28, 2013
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1438 views

Thompson Sampling for the Duelling Bandits Problem
May 28, 2013
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3327 views

From Data to Decision: Investigating the Struq Pipeline
May 28, 2013
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2144 views