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Poster
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Wed 12:00
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Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Jongseok Lee · Matthias Humt · Jianxiang Feng · Rudolph Triebel
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Poster
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Wed 5:00
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Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang ZHANG · Masanori Koyama · Katsuhiko Ishiguro
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Poster
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Thu 7:00
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Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
Karl Stratos · Sam Wiseman
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Poster
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Wed 10:00
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Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Mike Dusenberry · Ghassen Jerfel · Yeming Wen · Yian Ma · Jasper Snoek · Katherine Heller · Balaji Lakshminarayanan · Dustin Tran
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Poster
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Thu 6:00
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Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
Daoli Zhu · Lei Zhao
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Poster
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Wed 10:00
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The Sample Complexity of Best-k Items Selection from Pairwise Comparisons
Wenbo Ren · Jia Liu · Ness Shroff
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Poster
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Wed 5:00
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On Learning Language-Invariant Representations for Universal Machine Translation
Han Zhao · Junjie Hu · Andrej Risteski
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Poster
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Tue 10:00
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Explainable k-Means and k-Medians Clustering
Michal Moshkovitz · Sanjoy Dasgupta · Cyrus Rashtchian · Nave Frost
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Poster
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Tue 11:00
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Optimization and Analysis of the pAp@k Metric for Recommender Systems
Gaurush Hiranandani · Warut Vijitbenjaronk · Sanmi Koyejo · Prateek Jain
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Poster
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Wed 5:00
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Privately Learning Markov Random Fields
Huanyu Zhang · Gautam Kamath · Janardhan Kulkarni · Steven Wu
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Poster
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Wed 8:00
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Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson · Stefanie Jegelka · Suvrit Sra
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Poster
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Thu 7:00
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Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Kumar Misra · Mikael Henaff · Akshay Krishnamurthy · John Langford
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