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Workshop
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Causal Regressions For Unstructured Data
Amandeep Singh · Bolong Zheng
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Poster
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Thu 8:45
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Generalized Belief Transport
Junqi Wang · PEI WANG · Patrick Shafto
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Poster
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Tue 8:45
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Moment Matching Denoising Gibbs Sampling
Mingtian Zhang · Alex Hawkins-Hooker · Brooks Paige · David Barber
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Workshop
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Stochastic Safe Action Model Learning
Zihao Deng · Brendan Juba
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Poster
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Wed 8:45
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Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
Lianghe Shi · Weiwei Liu
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Workshop
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A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel · Sabyasachi Shivkumar · Ralf Haefner
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Workshop
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A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel · Sabyasachi Shivkumar · Ralf Haefner
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Poster
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Wed 8:45
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On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou · Weiwei Liu
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Workshop
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Theoretical Explanation for Generalization from Adversarial Perturbations
Soichiro Kumano · Hiroshi Kera · Toshihiko Yamasaki
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Poster
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Thu 8:45
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Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
Ziheng Cheng · Shiyue Zhang · Longlin Yu · Cheng Zhang
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Poster
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Wed 15:00
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Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Richard Gao · Michael Deistler · Jakob H Macke
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Poster
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Tue 8:45
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Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
Naman Deep Singh · Francesco Croce · Matthias Hein
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