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Poster
Mon 18:30 Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Alejandro Newell · Zhiao Huang · Jia Deng
Poster
Tue 18:30 Sparse Approximate Conic Hulls
Greg Van Buskirk · Benjamin Raichel · Nicholas Ruozzi
Poster
Mon 18:30 Learning with Feature Evolvable Streams
Bo-Jian Hou · Lijun Zhang · Zhi-Hua Zhou
Poster
Wed 18:30 Bandits Dueling on Partially Ordered Sets
Julien Audiffren · Liva Ralaivola
Poster
Mon 18:30 Unsupervised Sequence Classification using Sequential Output Statistics
Yu Liu · Jianshu Chen · Li Deng
Tutorial
Mon 8:00 Deep Learning: Practice and Trends
Nando de Freitas · Scott Reed · Oriol Vinyals
Tutorial
Mon 10:45 Fairness in Machine Learning
Solon Barocas · Moritz Hardt
Poster
Mon 18:30 Trimmed Density Ratio Estimation
Song Liu · Akiko Takeda · Taiji Suzuki · Kenji Fukumizu
Spotlight
Tue 17:05 Posterior sampling for reinforcement learning: worst-case regret bounds
Shipra Agrawal · Randy Jia
Poster
Mon 18:30 Probabilistic Rule Realization and Selection
Haizi Yu · Tianxi Li · Lav Varshney
Poster
Mon 18:30 Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
Kristjan Greenewald · Seyoung Park · Shuheng Zhou · Alexander Giessing
Poster
Wed 18:30 End-to-End Differentiable Proving
Tim Rocktäschel · Sebastian Riedel