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Poster
Wed 9:00 Stochastic Optimization with Laggard Data Pipelines
Naman Agarwal · Rohan Anil · Tomer Koren · Kunal Talwar · Cyril Zhang
Spotlight
Tue 8:10 On ranking via sorting by estimated expected utility
Clement Calauzenes · Nicolas Usunier
Poster
Thu 9:00 Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
Raphaël Berthier · Francis Bach · Pierre Gaillard
Poster
Thu 9:00 Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
Giorgos ('Yorgos') Mamakoukas · Orest Xherija · Todd Murphey
Poster
Tue 9:00 On ranking via sorting by estimated expected utility
Clement Calauzenes · Nicolas Usunier
Poster
Wed 21:00 Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
Kyungjae Lee · Hongjun Yang · Sungbin Lim · Songhwai Oh
Poster
Tue 9:00 GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz · Yiyi Liao · Michael Niemeyer · Andreas Geiger
Poster
Wed 21:00 Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Jianyuan Wang · Yiran Zhong · Yuchao Dai · Kaihao Zhang · Pan Ji · Hongdong Li
Poster
Wed 21:00 Finding the Homology of Decision Boundaries with Active Learning
Weizhi Li · Gautam Dasarathy · Karthikeyan Natesan Ramamurthy · Visar Berisha
Workshop
Sat 12:15 Ricky T. Q. Chen---Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering
Tian Qi Chen
Poster
Tue 9:00 Synthetic Data Generators -- Sequential and Private
Olivier Bousquet · Roi Livni · Shay Moran
Poster
Thu 9:00 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner