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53 Results
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Spotlight
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Thu 13:40 |
Bregman Power k-Means for Clustering Exponential Family Data Adithya D Vellal · Saptarshi Chakraborty · Jason Xu |
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Poster
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Thu 15:00 |
Bregman Power k-Means for Clustering Exponential Family Data Adithya D Vellal · Saptarshi Chakraborty · Jason Xu |
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Spotlight
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Tue 13:15 |
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations Fan Yin · Jieying Jiao · Jun Yan · Guanyu Hu |
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Poster
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Tue 15:30 |
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations Fan Yin · Jieying Jiao · Jun Yan · Guanyu Hu |
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Spotlight
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Thu 11:05 |
NOMU: Neural Optimization-based Model Uncertainty Jakob Heiss · Jakob Weissteiner · Hanna Wutte · Sven Seuken · Josef Teichmann |
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Poster
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Thu 15:00 |
NOMU: Neural Optimization-based Model Uncertainty Jakob Heiss · Jakob Weissteiner · Hanna Wutte · Sven Seuken · Josef Teichmann |
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Poster
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Tue 15:30 |
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl · Kim A. Nicoli · Shinichi Nakajima · Pan Kessel |
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Poster
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Wed 15:30 |
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song · Lantao Yu · Willie Neiswanger · Stefano Ermon |
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Spotlight
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Thu 13:30 |
Interactive Correlation Clustering with Existential Cluster Constraints Rico Angell · Nicholas Monath · Nishant Yadav · Andrew McCallum |
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Poster
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Thu 15:00 |
Interactive Correlation Clustering with Existential Cluster Constraints Rico Angell · Nicholas Monath · Nishant Yadav · Andrew McCallum |
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Oral
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Wed 14:00 |
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song · Lantao Yu · Willie Neiswanger · Stefano Ermon |
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Poster
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Thu 15:00 |
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time David Woodruff · Amir Zandieh |