NeurIPS 2023 Workshop ReALML Submissions

PINNACLE: PINN Adaptive ColLocation and Experimental points selection
Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Yinglun Zhu, Stephen Mussmann, Simon Shaolei Du, Jeff Bilmes, Kevin Jamieson, Robert D Nowak
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Decentralized and Asynchronous Multi-Agent Active Search and Tracking when Targets Outnumber Agents
Arundhati Banerjee, Jeff Schneider
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Sequentially Adaptive Experimentation for Learning Optimal Options subject to Unobserved Contexts
Hongju Park, Mohamad Kazem Shirani Faradonbeh
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Preference-Guided Bayesian Optimization for Control Policy Learning: Application to Personalized Plasma Medicine
Ketong Shao, Diego Romeres, Ankush Chakrabarty, Ali Mesbah
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces
Farshud Sorourifar, Thomas Banker, Joel Paulson
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Actively learning a Bayesian matrix fusion model with deep side information
Yangyang Yu, Jordan W. Suchow
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Accelerated High-Entropy Alloys Discovery for Electrocatalysis via Robotic-Aided Active Learning
Zhichu Ren, Zhen Zhang, Yunsheng Tian, Ju Li
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Semiparametric Efficient Inference in Adaptive Experiments
Thomas Cook, Alan Mishler, Aaditya Ramdas
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Sustainable Concrete via Bayesian Optimization
Sebastian Ament, Andrew Christopher Witte, Nishant Garg, Julius Kusuma
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control
Harit Vishwakarma, Heguang Lin, Ramya Vinayak
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
Li Ding, Masrour Zoghi, Guy Tennenholtz, Maryam Karimzadehgan
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Agile Modeling: From Concept to Classifier in Minutes
Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, Mohammadhossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Learning in Clinical Trial Settings
Zoe Fowler, Kiran Premdat Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Graph Neural Bayesian Optimization for Virtual Screening
Miles Wang-Henderson, Bartu Soyuer, Parnian Kassraie, Andreas Krause, Ilija Bogunovic
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries
Zarif Ikram, Ling Pan, Dianbo Liu
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
ALAS: Active Learning for Autoconversion Rates Prediction 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
Model-Free Preference Elicitation
Carlos Martin, Craig Boutilier, Ofer Meshi
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven M. Shugan
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint
Yongchao Chen
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Compute-Efficient Active Learning
Gábor Németh, Tamas Matuszka
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Practical Path-based Bayesian Optimization
Jose Pablo Folch, James A C Odgers, Shiqiang Zhang, Robert Matthew Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
AutODEx: Automated Optimal Design of Experiments Platform with Data- and Time-Efficient Multi-Objective Optimization
Yunsheng Tian, Pavle Vanja Konakovic, Beichen Li, Ane Zuniga, Michael Foshey, Timothy Erps, Wojciech Matusik, Mina Konakovic Lukovic
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Active Learning Policies for Solving Inverse Problems
Tim Bakker, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi, Fabio Valerio Massoli
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Zooming Optimistic Optimization Method to solve the Threshold Estimation Problem
Julien Audiffren
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone