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Poster
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Wed 17:00
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Learning Mixtures of Plackett-Luce Models from Structured Partial Orders
Zhibing Zhao · Lirong Xia
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Poster
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Thu 10:45
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A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Runzhe Yang · Xingyuan Sun · Karthik Narasimhan
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Poster
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Thu 10:45
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Machine Teaching of Active Sequential Learners
Tomi Peltola · Mustafa Mert Çelikok · Pedram Daee · Samuel Kaski
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Poster
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Thu 10:45
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MarginGAN: Adversarial Training in Semi-Supervised Learning
Jinhao Dong · Tong Lin
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Poster
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Thu 10:45
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Copula Multi-label Learning
Weiwei Liu
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Poster
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Thu 10:45
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Policy Poisoning in Batch Reinforcement Learning and Control
Yuzhe Ma · Xuezhou Zhang · Wen Sun · Jerry Zhu
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Poster
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Thu 17:00
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Thinning for Accelerating the Learning of Point Processes
Tianbo Li · Yiping Ke
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Poster
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Thu 17:00
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No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms
Max Vladymyrov
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Poster
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Tue 17:30
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Meta-Learning Representations for Continual Learning
Khurram Javed · Martha White
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Poster
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Tue 10:45
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A Family of Robust Stochastic Operators for Reinforcement Learning
Yingdong Lu · Mark Squillante · Chai Wah Wu
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Poster
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Wed 10:45
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Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Pedro Mercado · Francesco Tudisco · Matthias Hein
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Poster
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Tue 17:30
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Random Projections with Asymmetric Quantization
Xiaoyun Li · Ping Li
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