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Poster
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Wed 17:00
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Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
Simon Du · Kangcheng Hou · Russ Salakhutdinov · Barnabas Poczos · Ruosong Wang · Keyulu Xu
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Poster
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Thu 10:45
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Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser · Stephan Günnemann · Zachary Lipton
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Poster
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Wed 17:00
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Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions
Peng Chen · Keyi Wu · Joshua Chen · Tom O'Leary-Roseberry · Omar Ghattas
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Poster
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Tue 10:45
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On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Baekjin Kim · Ambuj Tewari
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Poster
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Wed 10:45
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A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang · Lin Xiao
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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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Tue 10:45
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Tree-Sliced Variants of Wasserstein Distances
Tam Le · Makoto Yamada · Kenji Fukumizu · Marco Cuturi
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Poster
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Tue 10:45
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Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses
Ulysse Marteau-Ferey · Francis Bach · Alessandro Rudi
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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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Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning
Weishi Shi · Qi Yu
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Poster
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Thu 10:45
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Using Statistics to Automate Stochastic Optimization
Hunter Lang · Lin Xiao · Pengchuan Zhang
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Poster
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Wed 17:00
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Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala · Andre Wibisono
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