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Poster
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Wed 6:00
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Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
Qadeer Khan · Patrick Wenzel · Daniel Cremers
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Poster
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Wed 6:00
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Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni · Richard Vidal · Marco Lorenzi
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Poster
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Wed 6:00
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On the proliferation of support vectors in high dimensions
Daniel Hsu · Vidya Muthukumar · Ji Xu
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Poster
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Tue 14:00
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Designing Transportable Experiments Under S-admissability
My Phan · David Arbour · Drew Dimmery · Anup Rao
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Poster
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Wed 12:45
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Feedback Coding for Active Learning
Gregory Canal · Matthieu Bloch · Christopher Rozell
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Poster
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Wed 6:00
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Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
Robin Vogel · Aurélien Bellet · Stephan Clémençon
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Poster
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Wed 6:00
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On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
Yuyang Shi · Rob Cornish
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Poster
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Tue 14:00
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Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
Hitesh Sapkota · Yiming Ying · Feng Chen · Qi Yu
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Poster
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Wed 6:00
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An Analysis of the Adaptation Speed of Causal Models
Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien
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Poster
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Wed 6:00
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Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park
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Poster
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Thu 7:30
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CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices
Valerii Likhosherstov · Jared Davis · Krzysztof Choromanski · Adrian Weller
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Poster
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Tue 18:30
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γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama
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