UAI 2024 Conference Submissions

Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
Patrick Kendal Kuiper, Ali Hasan, Wenhao Yang, Jose Blanchet, Vahid Tarokh, Yuting Ng, Hoda Bidkhori
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Approximate Bayesian Computation with Path Signatures
Joel Dyer, Patrick Cannon, Sebastian M Schmon
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 spotlight
- Readers: Everyone
Functional Wasserstein Bridge Inference for Bayesian Deep Learning
Mengjing Wu, Junyu Xuan, Jie Lu
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 oral
- Readers: Everyone
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable
Yuta Kawakami, manabu kuroki, Jin Tian
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 oral
- Readers: Everyone
Graph Contrastive Learning under Heterophily via Graph Filters
Wenhan Yang, Baharan Mirzasoleiman
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Functional Wasserstein Variational Policy Optimization
Junyu Xuan, Mengjing Wu, Zihe Liu, Jie Lu
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
Luís Felipe Prates Cattelan, Danilo Silva
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
On the Capacitated Facility Location Problem with Scarce Resources
Gennaro Auricchio, Harry J. Clough, Jie Zhang
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 oral
- Readers: Everyone
AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop
Jing Wang, Yunfei Teng, Anna Ewa Choromanska
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Robust Entropy Search for Safe Efficient Bayesian Optimization
Dorina Weichert, Alexander Kister, Sebastian Houben, Patrick Link, Gunar Ernis
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection
Moussa Kassem Sbeyti, Michelle E. Karg, Christian Wirth, Nadja Klein, Sahin Albayrak
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 oral
- Readers: Everyone
Early-Exit Neural Networks with Nested Prediction Sets
Metod Jazbec, Patrick Forré, Stephan Mandt, Dan Zhang, Eric Nalisnick
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Localised Natural Causal Learning Algorithms for Weak Consistency Conditions
Kai Z. Teh, Kayvan Sadeghi, Terry Soo
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Exploring High-dimensional Search Space via Voronoi Graph Traversing
Aidong Zhao, Xuyang Zhao, Tianchen Gu, zhaori bi, Xinwei Sun, Changhao Yan, Fan Yang, Dian Zhou, Xuan Zeng
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
Sang Bin Moon, Abolfazl Hashemi
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 oral
- Readers: Everyone
On the Convergence of Hierarchical Federated Learning with Partial Worker Participation
Xiaohan Jiang, Hongbin Zhu
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Publishing Number of Walks and Katz Centrality under Local Differential Privacy
Louis BETZER, Vorapong Suppakitpaisarn, Quentin Hillebrand
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
Aditya Challa, Soma S Dhavala, Snehanshu Saha
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Bayesian Pseudo-Coresets via Contrastive Divergence
Piyush Tiwary, Kumar Shubham, Vivek V Kashyap, Prathosh AP
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Metric Learning from Limited Pairwise Preference Comparisons
Zhi Wang, Geelon So, Ramya Korlakai Vinayak
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
GeONet: a neural operator for learning the Wasserstein geodesic
Andrew Gracyk, Xiaohui Chen
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring
Khoi Tran DANG, Kevin Delmas, Jeremie Guiochet, Joris Guerin
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing
Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann
- Published: 26 Apr 2024, Last Modified: 15 Jul 2024
- UAI 2024 poster
- Readers: Everyone