NeurIPS 2024 Workshop BDU Submissions

A Bayesian Approach Towards Crowdsourcing the Truths from LLMs
Peiran Yao, Jerin George Mathew, Shehraj Singh, Donatella Firmani, Denilson Barbosa
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Optimization for High-dimensional Urban Mobility Problems
Seongjin Choi, Sergio Rodriguez, Carolina Osorio
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Variational Inference in Similarity Spaces: A Bayesian Approach to Personalized Federated Learning
Pedro H Barros, Fabricio Murai, Amir Houmansadr, Alejandro C. Frery, Heitor Soares Ramos Filho
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Riemannian Black Box Variational Inference
Mykola Lukashchuk, Wouter W. L. Nuijten, Dmitry Bagaev, Ismail Senoz, Bert de Vries
- Published: 10 Oct 2024, Last Modified: 29 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition
Fengxue Zhang, Thomas Desautels, Yuxin Chen
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning
Rui Li, Marcus Klasson, Arno Solin, Martin Trapp
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Hi-fi functional priors by learning activations
Marcin Sendera, Amin Sorkhei, Tomasz Kuśmierczyk
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention
Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner
- Published: 10 Oct 2024, Last Modified: 29 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Efficient Modeling of Irregular Time-Series with Stochastic Optimal Control
Byoungwoo Park, Hyungi Lee, Juho Lee
- Published: 10 Oct 2024, Last Modified: 30 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Optimization over Bounded Domains with Beta Product Kernels
Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin
- Published: 10 Oct 2024, Last Modified: 24 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann, Marcus Klasson, Rui Li, Arno Solin, Martin Trapp
- Published: 10 Oct 2024, Last Modified: 08 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Integration-free kernels for equivariant Gaussian fields with application in dipole moment prediction
Tim Steinert, David Ginsbourger, August Smart Lykke-Møller, Ove Christiansen, Henry Moss
- Published: 10 Oct 2024, Last Modified: 12 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Nonparametric Learning using the Maximum Mean Discrepancy Measure for Synthetic Data Generation
Forough Fazeli-Asl, Michael Minyi Zhang, Lizhen Lin
- Published: 10 Oct 2024, Last Modified: 12 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Efficient Experimentation for Estimation of Continuous and Discrete Conditional Treatment Effects
Muhammed Razzak, Panagiotis Tigas, Andrew Jesson, Yarin Gal, Uri Shalit
- Published: 10 Oct 2024, Last Modified: 03 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Direct Acquisition Optimization for Low-Budget Active Learning
Zhuokai Zhao, Yibo Jiang, Yuxin Chen
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Sequential Batch Design in Functional Data
NeurIPS 2024 Workshop BDU Submission59 Authors
- 05 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
TR-BEACON: Shedding Light on Efficient Behavior Discovery in High-Dimensional Spaces with Bayesian Novelty Search over Trust Regions
Wei-Ting Tang, Ankush Chakrabarty, Joel Paulson
- Published: 10 Oct 2024, Last Modified: 25 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Simulating Message Passing via Spiking Neural Networks Using Logical Gates
NeurIPS 2024 Workshop BDU Submission57 Authors
- 04 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Ensemble Mashups: A Simple Recipe For Better Bayesian Optimization
Anand Ravishankar, Fernando Llorente, Yuanqing Song, Petar Djuric
- Published: 10 Oct 2024, Last Modified: 04 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
A scalable Bayesian continual learning framework for online and sequential decision making
Hanwen Xing, Christopher Yau
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Probabilistic Fusion Approach for Robust Battery Prognostics
Jokin Alcibar, Ekhi Zugasti, Aitor Aguirre-Ortuzar, Jose I. Aizpurua
- Published: 10 Oct 2024, Last Modified: 02 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Mode Collapse in Variational Deep Gaussian Processes
Francisco Javier Sáez-Maldonado, Juan Maroñas, Daniel Hernández-Lobato
- Published: 10 Oct 2024, Last Modified: 02 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data
Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, Sidhant Misra
- Published: 10 Oct 2024, Last Modified: 25 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
The Importance of Being Bayesian in Online Conformal Prediction
Zhiyu Zhang, Zhou Lu, Heng Yang
- Published: 10 Oct 2024, Last Modified: 10 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Post-Calibration Techniques: Balancing Calibration and Score Distribution Alignment
Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic, Francois HU
- Published: 10 Oct 2024, Last Modified: 27 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone