NeurIPS 2024 Workshop BDU Submissions

Toward Information Theoretic Active Inverse Reinforcement Learning
Ondrej Bajgar, Dewi Sid William Gould, Jonathon Liu, Oliver Newcombe, Rohan Narayan Langford Mitta, Jack Golden
- Published: 10 Oct 2024, Last Modified: 08 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Atomic Layer Deposition Optimization via Targeted Adaptive Design.
Marieme Ngom, Carlo Graziani, Noah Paulson
- Published: 10 Oct 2024, Last Modified: 02 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Inverse-Free Sparse Variational Gaussian Processes
Stefano Cortinovis, Laurence Aitchison, James Hensman, Stefanos Eleftheriadis, Mark van der Wilk
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
The role of tail dependence in estimating posterior expectations
Nicola Branchini, Víctor Elvira
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Learning to Defer with an Uncertain Rejector via Conformal Prediction
Yizirui Fang, Eric Nalisnick
- Published: 10 Oct 2024, Last Modified: 14 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Lightspeed Black-box Bayesian Optimization via Local Score Matching
Yakun Wang, Sherman Khoo, Song Liu
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response
Leiv Rønneberg, Vidhi Lalchand
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Two Students: Enabling Uncertainty Quantification in Federated Learning Clients
Cristovão Iglesias Jr, Sidney Alves de Outeiro, Claudio Miceli de Farias, Miodrag Bolic
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Information Directed Tree Search: Reasoning and Planning with Language Agents
Yash Chandak, HyunJi Nam, Allen Nie, Jonathan Lee, Emma Brunskill
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Using Rashomon Sets for Robust Active Learning
Simon Dovan Nguyen, Tyler McCormick, Kentaro Hoffman
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design
Sahel Iqbal, Hany Abdulsamad, Sara Perez-Vieites, Simo Särkkä, Adrien Corenflos
- Published: 10 Oct 2024, Last Modified: 04 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Uncertainty as a criterion for SOTIF evaluation of deep learning models in autonomous driving systems
Ho Suk, Shiho Kim
- Published: 10 Oct 2024, Last Modified: 14 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Bayesian Optimized Meta-Learning for Uncertainty-Driven Optimization
NeurIPS 2024 Workshop BDU Submission113 Authors
- 06 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Variational Inference for Interacting Particle Systems with Discrete Latent States
Giosue Migliorini, Padhraic Smyth
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Practical Bayesian Algorithm Execution via Posterior Sampling
Chu Xin Cheng, Raul Astudillo, Thomas Desautels, Yisong Yue
- Published: 10 Oct 2024, Last Modified: 10 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Computation-Aware Robust Gaussian Processes
Marshal Arijona Sinaga, Julien Martinelli, Samuel Kaski
- Published: 10 Oct 2024, Last Modified: 10 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Preference-based Multi-Objective Bayesian Optimization with Gradients
Joshua Hang Sai Ip, Ankush Chakrabarty, Hideyuki Masui, Ali Mesbah, Diego Romeres
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder
Likun Zhang, Christopher Wikle, Kiran Bhaganagar
- Published: 10 Oct 2024, Last Modified: 10 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Plug-and-Play Bayesian Online Change-Point Detection in Gaussian Processes
NeurIPS 2024 Workshop BDU Submission106 Authors
- 06 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization
Fengxue Zhang, Zejie Zhu, Yuxin Chen
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
A Fast, Robust Elliptical Slice Sampling Method for Truncated Multivariate Normal Distributions
Kaiwen Wu, Jacob R. Gardner
- Published: 10 Oct 2024, Last Modified: 03 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
GLEAM-AI: Neural Surrogate for Accelerated Epidemic Analytics and Forecasting
Mohammadmehdi Zahedi, Dongxia Wu, Jessica T. Davis, Yian Ma, Alessandro Vespignani, Rose Yu, Matteo Chinazzi
- Published: 10 Oct 2024, Last Modified: 16 Oct 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Universal Functional Regression with Neural Operator Flows
Yaozhong Shi, Angela F Gao, Zachary E Ross, Kamyar Azizzadenesheli
- Published: 10 Oct 2024, Last Modified: 06 Dec 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Non-Myopic Batch Bayesian Experimental Design for Quantifying Statistical Expectation
NeurIPS 2024 Workshop BDU Submission101 Authors
- 06 Sept 2024 (modified: 10 Oct 2024)
- Submitted to NeurIPS BDU Workshop 2024
- Readers: Everyone
Efficient Local Unlearning for Gaussian Processes with Out-of-Distribution Data
Juliusz Ziomek, Ilija Bogunovic
- Published: 10 Oct 2024, Last Modified: 27 Nov 2024
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone