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Sat 6:15 a.m. - 6:30 a.m.
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Doors Open and Workshop/Poster Setup
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Setup
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Sat 6:30 a.m. - 6:40 a.m.
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Opening Remarks
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Remarks
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SlidesLive Video
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Sat 6:40 a.m. - 7:20 a.m.
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High-throughput Protein Design and Evolution for Synthetic Biology - Erika DeBenedictis
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Invited Talk
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SlidesLive Video
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Sat 7:20 a.m. - 8:00 a.m.
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From Theory to Impact: Unlocking the Power of Bayesian Optimization on Real-World Science and Engineering Systems - Joel Paulson
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Invited Talk
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SlidesLive Video
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Sat 8:00 a.m. - 8:20 a.m.
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Coffee Break
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Coffee Break
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Sat 8:20 a.m. - 9:00 a.m.
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Adaptive Clinical Trials: Reinforcement Learning's Most Formidable Challenge - Mihaela van der Schaar
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Invited Talk
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SlidesLive Video
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Sat 9:00 a.m. - 9:40 a.m.
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Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations - Nathan Kallus
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Invited Talk
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SlidesLive Video
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Sat 9:40 a.m. - 11:20 a.m.
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Poster Session and Lunch
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Poster Session
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Sat 11:20 a.m. - 12:00 p.m.
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Invited Talk 5: Emma Brunskill
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Invited Talk
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SlidesLive Video
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Sat 12:00 p.m. - 1:10 p.m.
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Best Paper Candidate Spotlight Talks
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Spotlight Talks
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SlidesLive Video
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Sat 1:10 p.m. - 1:30 p.m.
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Coffee Break
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Coffee Break
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Sat 1:30 p.m. - 2:10 p.m.
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Adaptive Experimentation without an Objective - Eytan Bakshy
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Invited Talk
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SlidesLive Video
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Sat 2:10 p.m. - 2:50 p.m.
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RL in the Real World: From Chip Design to LLMs - Anna Goldie
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Invited Talk
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SlidesLive Video
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Sat 2:50 p.m. - 3:00 p.m.
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Best Paper Award and Closing Remarks
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Remarks
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SlidesLive Video
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Sat 3:00 p.m. - 3:30 p.m.
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Poster Session
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Poster Session
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Model-Free Preference Elicitation
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Poster
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link
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Carlos Martin · Craig Boutilier · Ofer Meshi
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Active Learning for Iterative Offline Reinforcement Learning
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Poster
)
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link
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Lan Zhang · Luigi Franco Tedesco · Pankaj Rajak · Youcef Zemmouri · Hakan Brunzell
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Transferable Candidate Proposal with Bounded Uncertainty
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Poster
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link
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Kyeongryeol Go · Kye-Hyeon Kim
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Sequentially Adaptive Experimentation for Learning Optimal Options subject to Unobserved Contexts
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Poster
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link
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Hongju Park · Mohamad Kazem Shirani Faradonbeh
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Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents
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Poster
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link
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Arundhati Banerjee · Jeff Schneider
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Anytime-Valid Inference in Adaptive Experiments
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Poster
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link
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Thomas Cook · Alan Mishler · Aaditya Ramdas
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Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning
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Poster
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link
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Marc Schachtsiek · Simone Rossi · Thomas Hannagan
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Pure Exploration under Mediators’ Feedback
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Poster
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link
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Riccardo Poiani · Alberto Maria Metelli · Marcello Restelli
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DISTRIBUTIONALLY ROBUST MODEL-BASED REINFORCEMENT LEARNING WITH LARGE STATE SPACES
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Poster
)
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link
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Shyam Sundhar Ramesh · Pier Giuseppe Sessa · Yifan Hu · Andreas Krause · Ilija Bogunovic
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Sustainable Concrete via Bayesian Optimization
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Poster
)
>
link
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Sebastian Ament · Andrew Witte · Nishant Garg · Julius Kusuma
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Active Model Selection: A Variance Minimization Approach
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Poster
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>
link
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Mitsuru Matsuura · Satoshi Hara
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Preference-Guided Bayesian Optimization for Control Policy Learning: Application to Personalized Plasma Medicine
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Poster
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link
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Ketong Shao · Diego Romeres · Ankush Chakrabarty · Ali Mesbah
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Residual Deep Gaussian Processes on Manifolds for Geometry-aware Bayesian Optimization on Hyperspheres
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Poster
)
>
link
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Kacper Wyrwal · Slava Borovitskiy
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Exploratory Training: When Annotators Learn About Data
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Poster
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>
link
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Rajesh Shrestha · Omeed Habibelahian · Arash Termehchy · Paolo Papotti
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Graph Neural Bayesian Optimization for Virtual Screening
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Poster
)
>
link
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Miles Wang-Henderson · Bartu Soyuer · Parnian Kassraie · Andreas Krause · Ilija Bogunovic
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Zooming Optimistic Optimization Method to solve the Threshold Estimation Problem
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Poster
)
>
link
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Julien Audiffren
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Hessian-Free Laplace in Bayesian Deep Learning
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Poster
)
>
link
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James McInerney · Nathan Kallus
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On Complex Network Dynamics of an In-Vitro Neuronal System during Rest and Gameplay
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Poster
)
>
link
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Moein Khajehnejad · Forough Habibollahi · Alon Loeffler · Brett J. Kagan · Adeel Razi
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Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control
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Poster
)
>
link
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Harit Vishwakarma · Heguang Lin · Ramya Korlakai Vinayak
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Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning
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Poster
)
>
link
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Tom Blau · Iadine Chades · Amir Dezfouli · Daniel Steinberg · Edwin Bonilla
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Correlated Trajectory Uncertainty for Adaptive Sequential Decision Making
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Poster
)
>
link
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Ian Char · Youngseog Chung · Rohan Shah · Willie Neiswanger · Jeff Schneider
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Efficient and scalable reinforcement learning via Hypermodel
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Poster
)
>
link
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Yingru Li · Jiawei Xu · Zhi-Quan Luo
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ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data
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Poster
)
>
link
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Maria Carolina Novitasari · Johannes Quaas · Miguel Rodrigues
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Near-equivalence between bounded regret and delay robustness in interactive decision making
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Poster
)
>
link
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Enoch H. Kang · P. R. Kumar
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Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems
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Poster
)
>
link
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Tom Savage · Antonio del Rio Chanona
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Active Testing of Binary Classification Model Using Level Set Estimation
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Poster
)
>
link
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Takuma Ochiai · Keiichiro Seno · Kota Matsui · Satoshi Hara
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Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
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Poster
)
>
link
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Mingzhang Yin · Ruijiang Gao · Weiran Lin · Steven Shugan
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Active Learning Policies for Solving Inverse Problems
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Poster
)
>
link
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Tim Bakker · Thomas Hehn · Tribhuvanesh Orekondy · Arash Behboodi · Fabio Valerio Massoli
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Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint
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Poster
)
>
link
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Yongchao Chen
🔗
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Generalized Objectives in Adaptive Experimentation: The Frontier between Within- and Post-Experiment Objectives
(
Poster
)
>
link
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Chao Qin · Daniel Russo
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ExPT: Scaling Foundation Models for Experimental Design via Synthetic Pretraining
(
Poster
)
>
link
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Tung Nguyen · Sudhanshu Agrawal · Aditya Grover
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AutODEx: Automated Optimal Design of Experiments Platform with Data- and Time-Efficient Multi-Objective Optimization
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Poster
)
>
link
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Yunsheng Tian · Pavle Konakovic · Beichen Li · Ane Zuniga · Michael Foshey · Timothy Erps · Wojciech Matusik · Mina Konakovic Lukovic
🔗
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Accelerated High-Entropy Alloys Discovery for Electrocatalysis via Robotic-Aided Active Learning
(
Poster
)
>
link
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Zhichu Ren · Zhen Zhang · Yunsheng Tian · Ju Li
🔗
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Long-run Behaviour of Multi-fidelity Bayesian Optimisation
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Poster
)
>
link
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Gbetondji Dovonon · Jakob Zeitler
🔗
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Understanding Threshold-based Auto-labeling: The Good, the Bad, and the Terra Incognita
(
Poster
)
>
link
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Harit Vishwakarma · Heguang Lin · Frederic Sala · Ramya Korlakai Vinayak
🔗
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Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries
(
Poster
)
>
link
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Zarif Ikram · Ling Pan · Dianbo Liu
🔗
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Efficient Variational Sequential Information Control
(
Poster
)
>
link
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Jianwei Shen · Jason Pacheco
🔗
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Anytime Model Selection in Linear Bandits
(
Poster
)
>
link
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Parnian Kassraie · Nicolas Emmenegger · Andreas Krause · Aldo Pacchiano
🔗
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Multi-Fidelity Active Learning with GFlowNets
(
Poster
)
>
link
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Alex Hernandez-Garcia · Nikita Saxena · Moksh Jain · Chenghao Liu · Yoshua Bengio
🔗
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Learning in Clinical Trial Settings
(
Poster
)
>
link
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Zoe Fowler · Kiran Kokilepersaud · Mohit Prabhushankar · Ghassan AlRegib
🔗
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Preferential Heteroscedastic Bayesian Optimization with Informative Noise Priors
(
Poster
)
>
link
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Marshal Sinaga · Julien Martinelli · Samuel Kaski
🔗
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-
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Optimistic Games for Combinatorial Bayesian Optimization with Applications to Protein Design
(
Poster
)
>
link
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Melis Ilayda Bal · Pier Giuseppe Sessa · Mojmir Mutny · Andreas Krause
🔗
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-
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NPC-NIS: Navigating Semiconductor Process Corners with Neural Importance Sampling
(
Poster
)
>
link
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Hong Chul Nam · Chanwoo Park
🔗
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Planning Contextual Adaptive Experiments with Model Predictive Control
(
Poster
)
>
link
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Ethan Che · Jimmy Wang · Hongseok Namkoong
🔗
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Learning relevant contextual variables within Bayesian optimization
(
Poster
)
>
link
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Julien Martinelli · Ayush Bharti · Armi Tiihonen · Louis Filstroff · ST John · Sabina Sloman · Patrick Rinke · Samuel Kaski
🔗
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PINNACLE: PINN Adaptive ColLocation and Experimental points selection
(
Poster
)
>
link
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Gregory Kang Ruey Lau · Apivich Hemachandra · See-Kiong Ng · Bryan Kian Hsiang Low
🔗
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Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces
(
Poster
)
>
link
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Farshud Sorourifar · Thomas Banker · Joel Paulson
🔗
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Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
(
Poster
)
>
link
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Li Ding · Masrour Zoghi · Guy Tennenholtz · Maryam Karimzadehgan
🔗
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-
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Provably-Convergent Bayesian Source Seeking for Multimodal Fields using Mobile Agents
(
Poster
)
>
link
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Vivek Mishra · Raul Astudillo · Peter Frazier · Fumin Zhang
🔗
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-
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Compute-Efficient Active Learning
(
Poster
)
>
link
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Gábor Németh · Tamás Matuszka
🔗
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-
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CircuitVAE: Efficient and Scalable Latent Circuit Optimization
(
Poster
)
>
link
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Jialin Song · Aidan Swope · Robert Kirby · Rajarshi Roy · Saad Godil · Jonathan Raiman · Bryan Catanzaro
🔗
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-
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Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data
(
Poster
)
>
link
|
Maria Carolina Novitasari · Johannes Quaas · Miguel Rodrigues
🔗
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-
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Towards Scalable Identification of Brick Kilns from Satellite Imagery with Active Learning
(
Poster
)
>
link
|
Aditi Agarwal · Suraj Jaiswal · Madhav Kanda · Dhruv Patel · Rishabh Mondal · Vannsh Jani · Zeel Bharatkumar Patel · Nipun Batra · Sarath Guttikunda
🔗
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-
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Improved Bounds for Agnostic Active Learning of Single Index Models
(
Poster
)
>
link
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Aarshvi Gajjar · Xingyu Xu · Christopher Musco · Chinmay Hegde
🔗
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-
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Practical Path-based Bayesian Optimization
(
Poster
)
>
link
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Jose Pablo Folch · James Odgers · Shiqiang Zhang · Robert Lee · Behrang Shafei · David Walz · Calvin Tsay · Mark van der Wilk · Ruth Misener
🔗
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Data-driven Prior Learning for Bayesian Optimisation
(
Poster
)
>
link
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Sigrid Passano Hellan · Christopher G Lucas · Nigel Goddard
🔗
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Model Robustness and Active Learning with Missing-Not-At-Random Outcomes
(
Poster
)
>
link
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Alan Mishler · Mohsen Ghassemi · Alec Koppel · Sumitra Ganesh
🔗
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Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
(
Poster
)
>
link
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David Bruns-Smith · Angela Zhou
🔗
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-
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BoChemian: Large Language Model Embeddings for Bayesian Optimization of Chemical Reactions
(
Poster
)
>
link
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Bojana Rankovic · Philippe Schwaller
🔗
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\textit{Less But Better}\\ Towards better \textit{AQ} Monitoring by learning \\ Inducing Points for Multi-Task Gaussian Processes
(
Poster
)
>
link
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Progyan Das · Mihir Agarwal
🔗
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-
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ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
(
Poster
)
>
link
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Hakki Akengin · Mehmet Aslihak · Yiqi Jiang · Christopher Miranda · Marta Pozo · Yang Li · Oscar Hernandez · Hakan Inan · Fatih Dinc · Mark Schnitzer
🔗
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Actively learning a Bayesian matrix fusion model with deep side information
(
Poster
)
>
link
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Yangyang Yu · Jordan Suchow
🔗
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Agile Modeling: From Concept to Classifier in Minutes
(
Poster
)
>
link
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18 presenters
Otilia Stretcu · Edward Vendrow · Kenji Hata · Krishnamurthy Viswanathan · Vittorio Ferrari · Sasan Tavakkol · Wenlei Zhou · Aditya Avinash · Enming Luo · Neil Alldrin · Mohammadhossein Bateni · Gabriel Berger · Andrew Bunner · Chun-Ta Lu · Javier Rey · Giulia DeSalvo · Ranjay Krishna · Ariel Fuxman
🔗
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Learning Models and Evaluating Policies with Offline Off-Policy Data under Partial Observability
(
Poster
)
>
link
|
Shreyas Chaudhari · Philip Thomas · Bruno C. da Silva
🔗
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-
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LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
(
Poster
)
>
link
|
Jifan Zhang · Yifang Chen · Gregory Canal · Stephen Mussmann · Yinglun Zhu · Simon Du · Kevin Jamieson · Robert Nowak
🔗
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REDUCR: Robust Data Downsampling Using Class Priority Reweighting
(
Poster
)
>
link
|
William Bankes · George Hughes · Ilija Bogunovic · Zi Wang
🔗
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Local Acquisition Function for Active Level Set Estimation
(
Poster
)
>
link
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Yuta Kokubun · Kota Matsui · Kentaro Kutsukake · Wataru Kumagai · Takafumi Kanamori
🔗
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Improving class and group imbalanced classification with uncertainty-based active learning
(
Poster
)
>
link
|
Alexandru Tifrea · John Hill · Fanny Yang
🔗
|
