NeurIPS 2023 Workshop ReALML Submissions

NPC-NIS: Navigating Semiconductor Process Corners with Neural Importance Sampling
Hong Chul Nam, Chanwoo Park
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
DISTRIBUTIONALLY ROBUST MODEL-BASED REINFORCEMENT LEARNING WITH LARGE STATE SPACES
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Anytime Model Selection in Linear Bandits
Parnian Kassraie, Nicolas Emmenegger, Andreas Krause, Aldo Pacchiano
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
BoChemian: Large Language Model Embeddings for Bayesian Optimization of Chemical Reactions
Bojana Ranković, Philippe Schwaller
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data
Maria Carolina Novitasari, Johannes Quaas, Miguel R. D. Rodrigues
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
\textit{Less But Better}\\ Towards better \textit{AQ} Monitoring by learning \\ Inducing Points for Multi-Task Gaussian Processes
Progyan Das, Mihir Agarwal
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Preferential Heteroscedastic Bayesian Optimization with Informative Noise Priors
Marshal Arijona Sinaga, Julien Martinelli, Samuel Kaski
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Residual Deep Gaussian Processes on Manifolds for Geometry-aware Bayesian Optimization on Hyperspheres
Kacper Wyrwal, Viacheslav Borovitskiy
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
Hakki Orhun Akengin, Mehmet Anil Aslihak, Yiqi Jiang, Yang Li, Oscar Hernandez, Hakan Inan, Christopher Miranda, Marta Blanco Pozo, Fatih Dinc, Mark Schnitzer
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Improving class and group imbalanced classification with uncertainty-based active learning
Alexandru Tifrea, John Hill, Fanny Yang
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Local Acquisition Function for Active Level Set Estimation
Yuta Kokubun, Kota Matsui, Kentaro Kutsukake, Wataru Kumagai, Takafumi Kanamori
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Learning relevant contextual variables within Bayesian optimization
Julien Martinelli, Ayush Bharti, Armi Tiihonen, Louis Filstroff, S. T. John, Sabina J. Sloman, Patrick Rinke, Samuel Kaski
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Provably-Convergent Bayesian Source Seeking with Mobile Agents in Multimodal Fields
Vivek Mishra, Raul Astudillo, Peter I. Frazier, Fumin Zhang
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Generalized Objectives in Adaptive Experiments: The Frontier between Regret and Speed
Chao Qin, Daniel Russo
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Optimistic Games for Combinatorial Bayesian Optimization with Applications to Protein Design
Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
ExPT: Scaling Foundation Models for Experimental Design via Synthetic Pretraining
Tung Nguyen, Sudhanshu Agrawal, Aditya Grover
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
David Bruns-Smith, Angela Zhou
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Planning Contextual Adaptive Experiments with Model Predictive Control
Ethan Che, Jimmy Wang, Hongseok Namkoong
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Learning Models and Evaluating Policies with Offline Off-Policy Data under Partial Observability
Shreyas Chaudhari, Philip S. Thomas, Bruno Castro da Silva
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Active Testing of Binary Classification Model Using Level Set Estimation
Takuma Ochiai, Keiichiro Seno, Kota Matsui, Satoshi Hara
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Improved Bounds for Agnostic Active Learning of Single Index Models
Aarshvi Gajjar, Xingyu Xu, Christopher Musco, Chinmay Hegde
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Efficient Variational Sequential Information Control
Jianwei Shen, Jason Pacheco
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Active Learning for Iterative Offline Reinforcement Learning
Lan Zhang, Luigi Franco Tedesco, Pankaj Rajak, Youcef Zemmouri, Hakan Brunzell
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Active Learning with Missing Not At Random Outcomes
Alan Mishler, Mohsen Ghassemi, Alec Koppel, Sumitra Ganesh
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Hessian-Free Laplace in Bayesian Deep Learning
James McInerney, Nathan Kallus
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone