Workshop Notes

• Josh Attenberg and Foster Provost, Active Inference and Learning for Classifying Streams
• Josh Attenberg, Foster Provost, Prem Melville, Guided Feature Labeling for Budget-Sensitive Learning Under Extreme Class Imbalance
• Nicolo Cesa-Bianchi, Shai Shalev-Shwartz and Ohad Shamir, Some Impossibility Results on Budgeted Learning
• Saher Esmeir and Shaul Markovitch, Anytime Algorithms for Learning Resource-bounded Classifiers
• Dinesh Garg, S. Sundararajan, Sourangshu Bhattacharya, Shirish Shevade, Budgeted PAC Learning with Two Noisy Annotators
• Danxia Kong and Maytal Saar-Tsechansky, Collaborative Information Acquisition
• Ankit Kuwadekar and Jennifer Neville, Active Learning for Relational Domains
• Mohit Kumar and Rayid Ghani, Online Cost-Sensitive Learning for Efficient Interactive Classification
• Raphael Pelossof, Michael Jones and Zhiliyang Ying, Speeding-up margin Based Learning via Stochastic Curtailment
• Lev Reyzin, Boosting on a Feature Budget
• Avishek Saha, Plyush Rai, Hal Daume III and Suresh Venkatasubramanian, Active Online Multitask Learning