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Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #1
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch · Joost van Amersfoort · Yarin Gal
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #2
Bayesian Batch Active Learning as Sparse Subset Approximation
Robert Pinsler · Jonathan Gordon · Eric Nalisnick · José Miguel Hernández-Lobato
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #3
Cost Effective Active Search
Shali Jiang · Roman Garnett · Benjamin Moseley
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #4
Exact sampling of determinantal point processes with sublinear time preprocessing
Michal Derezinski · Daniele Calandriello · Michal Valko
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #5
Flattening a Hierarchical Clustering through Active Learning
Fabio Vitale · Anand Rajagopalan · Claudio Gentile
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #6
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning
Weishi Shi · Qi Yu
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #7
Learning Nearest Neighbor Graphs from Noisy Distance Samples
Blake Mason · Ardhendu Tripathy · Robert Nowak
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #8
Machine Teaching of Active Sequential Learners
Tomi Peltola · Mustafa Mert Çelikok · Pedram Daee · Samuel Kaski
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #9
The Label Complexity of Active Learning from Observational Data
Songbai Yan · Kamalika Chaudhuri · Tara Javidi