NeurIPS 2024 Workshop BDU Submissions

Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Oral
- Readers: Everyone
Cost-effective Reduced-Order Modeling via Bayesian Active Learning
Amir Hossein Rahmati, Nathan Urban, Byung-Jun Yoon, Xiaoning Qian
- Published: 10 Oct 2024, Last Modified: 29 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Predicting Electricity Consumption with Random Walks on Gaussian Processes
NeurIPS 2024 Workshop BDU Submission47 Authors
- 03 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Henry Moss, Victor Picheny, Hrvoje Stojic, Sebastian W. Ober, Artem Artemev, Andrei Paleyes, Sattar Vakili, Stratis Markou, Jixiang Qing, Nasrulloh Ratu Bagus Satrio Loka, Ivo Couckuyt
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Optimization of High-dimensional Outputs with Human Feedback
Qing Feng, Zhiyuan Jerry Lin, Yujia Zhang, Benjamin Letham, Jelena Markovic-Voronov, Ryan-Rhys Griffiths, Peter I. Frazier, Eytan Bakshy
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Sample-Efficient Behavior Cloning using Hierarchical Event Memory of Bayesian Networks
NeurIPS 2024 Workshop BDU Submission44 Authors
- 02 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Lucie Filippi, Mark van der Wilk
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
Karine Karine, Susan Murphy, Benjamin Marlin
- Published: 10 Oct 2024, Last Modified: 29 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Constrained Multi-objective Bayesian Optimization
Diantong Li, Fengxue Zhang, Chong Liu, Yuxin Chen
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Will LeVine, Benjamin Pikus, Jacob Phillips, Berk Norman, Fernando Amat Gil, Sean M. Hendryx
- Published: 10 Oct 2024, Last Modified: 29 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Lithium-Ion Battery System Health Monitoring and Resistance-Based Fault Analysis from Field Data Using Recursive Spatiotemporal Gaussian Processes
Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard Braatz, Rolf Findeisen
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Oral
- Readers: Everyone
Efficient Bayesian Additive Regression Models For Microbiome Studies
Tinghua Chen, Michelle Pistner Nixon, Justin D Silverman
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
NeurIPS 2024 Workshop BDU Submission36 Authors
- 30 Aug 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Big Batch Bayesian Active Learning by Considering Predictive Probabilities
Sebastian W. Ober, Samuel Power, Tom Diethe, Henry Moss
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias Oechtering, Mikael Skoglund
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Improved Depth Estimation of Bayesian Neural Networks
Bart van Erp, Bert de Vries
- Published: 10 Oct 2024, Last Modified: 29 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
Nikola Pavlovic, Sudeep Salgia, Qing Zhao
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Variational Search Distributions
Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Oral
- Readers: Everyone
Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization
Dongxia Wu, Nikki Lijing Kuang, Ruijia Niu, Yian Ma, Rose Yu
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models
Andreas Kirsch
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Rashomon Sets for Model Uncertainty: A critical comparison
Aparajithan Venkateswaran, Anirudh Sankar, Arun Chandrasekhar, Tyler McCormick
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Active Learning for Optimal Minimization of Experimental Characterization Uncertainty
Marcus Schwarting, Nathan Seifert, Logan Ward, Ben Blaiszik, Ian Foster, Yuxin Chen, Kirill Prozument
- Published: 10 Oct 2024, Last Modified: 01 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Uncertainty Quantification and Calibration for Audio-driven Disease Diagnosis
Shubham Kulkarni, Hideaki Watanabe, Fuminori Homma
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories
Rui-Yang Zhang, Henry Moss, Lachlan Astfalck, Edward Cripps, David S. Leslie
- Published: 10 Oct 2024, Last Modified: 28 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Gradient-free variational learning with conditional mixture networks
Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz, Jeff Beck, Christopher Buckley
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone