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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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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 |
A Contraction Approach to Model-based Reinforcement Learning Ting-Han Fan · Peter Ramadge |
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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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Tue 14:00 |
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model Jiaqi Ma · Xinyang Yi · Weijing Tang · Zhe Zhao · Lichan Hong · Ed Chi · Qiaozhu Mei |
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Poster
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Tue 18:30 |
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent Frederik Kunstner · Raunak Kumar · Mark Schmidt |
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Poster
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Wed 12:45 |
Rate-Regularization and Generalization in Variational Autoencoders Alican Bozkurt · Babak Esmaeili · Jean-Baptiste Tristan · Dana Brooks · Jennifer Dy · Jan-Willem van de Meent |
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Poster
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Tue 18:30 |
Parametric Programming Approach for More Powerful and General Lasso Selective Inference Vo Nguyen Le Duy · Ichiro Takeuchi |
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Poster
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Wed 12:45 |
Fast and Smooth Interpolation on Wasserstein Space Sinho Chewi · Julien Clancy · Thibaut Le Gouic · Philippe Rigollet · George Stepaniants · Austin Stromme |
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Poster
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Wed 12:45 |
Provable Hierarchical Imitation Learning via EM Zhiyu Zhang · Ioannis Paschalidis |
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Poster
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Wed 6:00 |
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui · Heinz Koeppl |