NeurIPS 2024 Workshop BDU Submissions

Optimizing Detection Time and Specificity: Early Classification of Time Series with Sensitivity Constraint
Jiaming Qiu, Ying-Qi Zhao, Yingye Zheng
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
MHP-DDP: Multivariate Hawkes Process with Dependent Dirichlet Process
Alex Ziyu Jiang, Abel Rodriguez
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Decision-Driven Calibration for Cost-Sensitive Uncertainty Quantification
Gregory Canal, Vladimir Leung, John J. Guerrerio, Philip Sage, I-Jeng Wang
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Latent Spatial Dirichlet Allocation
Junsouk Choi, Veerabhadran Baladandayuthapani, Jian Kang
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Disease Progression Models that Capture Health Disparities
NeurIPS 2024 Workshop BDU Submission95 Authors
- 06 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Hellinger-UCB: A novel algorithm for stochastic multi-armed bandit problem
NeurIPS 2024 Workshop BDU Submission94 Authors
- 06 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Computationally Efficient Laplace Approximations for Neural Networks
Swarnali Raha, Kshitij Khare, Rohit K Patra
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Adaptive Transductive Inference via Sequential Experimental Design with Contextual Retention
Tareq Si Salem
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Graph Agnostic Causal Bayesian Optimisation
Sumantrak Mukherjee, Mengyan Zhang, Seth Flaxman, Sebastian Josef Vollmer
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Data-Efficient Variational Mutual Information Estimation via Bayesian Self-Consistency
Desi R. Ivanova, Marvin Schmitt, Stefan T. Radev
- Published: 10 Oct 2024, Last Modified: 06 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Understanding and Quantifying Reliability in Object Detection Transformers
NeurIPS 2024 Workshop BDU Submission89 Authors
- 06 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
NeurIPS 2024 Workshop BDU Submission88 Authors
- 06 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Failure Prediction from Few Expert Demonstrations
Anjali Parashar, Kunal Garg, Joseph Zhang, Chuchu Fan
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Optimal Experimental Design of Streaming Data Incorporating Machine Learning Generated Synthetic Data
Kentaro Hoffman, Tyler McCormick
- Published: 10 Oct 2024, Last Modified: 03 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain, So Takao, Bastian Rieck, Xiaowen Dong, Emmanuel Noutahi
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Oral
- Readers: Everyone
Incentivized Exploration in Two-sided Matching Markets
Dung Daniel Ngo, Vamsi K. Potluru, Manuela Veloso
- Published: 10 Oct 2024, Last Modified: 10 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Variational Last Layers for Bayesian Optimization
Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi, Bach Do, Ruda Zhang
- Published: 10 Oct 2024, Last Modified: 28 Oct 2024
- NeurIPS BDU Workshop 2024 Oral
- Readers: Everyone
Probabilistic Forecasting of Radiation Exposure for Spaceflight
NeurIPS 2024 Workshop BDU Submission81 Authors
- 05 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models
David Antony Selby, Kai Spriestersbach, Yuichiro Iwashita, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Muhammad Nabeel Asim, Koichi Kise, Sebastian Josef Vollmer
- Published: 10 Oct 2024, Last Modified: 28 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure
Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, Eytan Bakshy
- Published: 10 Oct 2024, Last Modified: 29 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
An Active Learning Performance Model for Parallel Bayesian Calibration of Expensive Simulations
Özge Sürer, Stefan M. Wild
- Published: 10 Oct 2024, Last Modified: 03 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Rethinking Aleatoric and Epistemic Uncertainty
Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope, Mark van der Wilk, Adam Foster, Tom Rainforth
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Oral
- Readers: Everyone
Gaussian Randomized Exploration for Semi-bandits with Sleeping Arms
ZHIMING HUANG, Bingshan Hu, jianping pan
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Last-layer committee machines for uncertainty quantification
NeurIPS 2024 Workshop BDU Submission75 Authors
- 05 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone