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156 Results
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Poster
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Tue 14:00 |
Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model Libby Zhang · Tim Dunn · Jesse Marshall · Bence Olveczky · Scott Linderman |
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Poster
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Tue 18:30 |
Learning Temporal Point Processes with Intermittent Observations Vinayak Gupta · Srikanta Bedathur · Sourangshu Bhattacharya · Abir De |
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Poster
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Wed 6:00 |
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Baohe Zhang · Raghu Rajan · Luis Pineda · Nathan Lambert · André Biedenkapp · Kurtland Chua · Frank Hutter · Roberto Calandra |
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Poster
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Thu 7:30 |
A Contraction Approach to Model-based Reinforcement Learning Ting-Han Fan · Peter Ramadge |
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Poster
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Tue 14:00 |
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning Chong Liu · Yuqing Zhu · Kamalika Chaudhuri · Yu-Xiang Wang |
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Poster
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Thu 7:30 |
Spectral Tensor Train Parameterization of Deep Learning Layers Anton Obukhov · Maxim Rakhuba · Alexander Liniger · Zhiwu Huang · Stamatios Georgoulis · Dengxin Dai · Luc Van Gool |
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Poster
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Thu 7:30 |
Local SGD: Unified Theory and New Efficient Methods Eduard Gorbunov · Filip Hanzely · Peter Richtarik |
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Poster
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Thu 7:30 |
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model Nafiseh Ghoroghchian · Gautam Dasarathy · Stark Draper |
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Poster
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Wed 12:45 |
Probabilistic Sequential Matrix Factorization Omer Deniz Akyildiz · Gerrit van den Burg · Theodoros Damoulas · Mark Steel |
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Poster
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Wed 6:00 |
Scalable Gaussian Process Variational Autoencoders Metod Jazbec · Matt Ashman · Vincent Fortuin · Michael Pearce · Stephan Mandt · Gunnar Rätsch |
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Poster
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Wed 6:00 |
Calibrated Adaptive Probabilistic ODE Solvers Nathanael Bosch · Philipp Hennig · Filip Tronarp |
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Poster
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Thu 7:30 |
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders Alexander Camuto · Matthew Willetts · Stephen Roberts · Chris Holmes · Tom Rainforth |