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Spotlight
Wed 11:25 Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Cheng Lu · Kaiwen Zheng · Fan Bao · Jianfei Chen · Chongxuan Li · Jun Zhu
Spotlight
Wed 8:00 Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang · Michael Mahoney · Liam Hodgkinson
Spotlight
Thu 13:50 Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Volodymyr Kuleshov · Shachi Deshpande
Poster
Thu 15:00 Linear Complexity Randomized Self-attention Mechanism
Lin Zheng · Chong Wang · Lingpeng Kong
Spotlight
Tue 14:25 Algorithms for the Communication of Samples
Lucas Theis · Nour Ahmed
Poster
Tue 15:30 Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong · Alessandro Rinaldo
Poster
Wed 15:30 Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Cheng Lu · Kaiwen Zheng · Fan Bao · Jianfei Chen · Chongxuan Li · Jun Zhu
Oral
Tue 11:15 Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong · Alessandro Rinaldo
Poster
Thu 15:00 Measuring dissimilarity with diffeomorphism invariance
Théophile Cantelobre · Carlo Ciliberto · Benjamin Guedj · Alessandro Rudi
Poster
Thu 15:00 Marginal Tail-Adaptive Normalizing Flows
Mike Laszkiewicz · Johannes Lederer · Asja Fischer
Spotlight
Thu 13:30 Sketching Algorithms and Lower Bounds for Ridge Regression
Praneeth Kacham · David Woodruff
Spotlight
Tue 7:50 Why the Rich Get Richer? On the Balancedness of Random Partition Models
Changwoo Lee · Huiyan Sang