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Workshop
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Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data
Parikshit Pareek · Kaarthik Sundar · Deep Deka · Sidhant Misra
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Poster
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Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
seyed amir saberi · Amir Najafi · Amin Behjati · Ala Emrani · Yasaman Zolfimoselo · Shadrooy · Abolfazl Motahari · Babak Khalaj
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Workshop
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Generative Neural Reparameterization for Differentiable PDE-Constrained Optimization
Archis Joglekar
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Workshop
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LLMs are Highly-Constrained Biophysical Sequence Optimizers
Angelica Chen · Robert Alberstein · Andrew Watkins · Kyunghyun Cho · Nathan Frey · Samuel Stanton
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Poster
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Fri 11:00
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Transition Constrained Bayesian Optimization via Markov Decision Processes
Jose Pablo Folch · Calvin Tsay · Robert Lee · Behrang Shafei · Weronika Ormaniec · Andreas Krause · Mark van der Wilk · Ruth Misener · Mojmir Mutny
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Workshop
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Constrained Multi-objective Bayesian Optimization
Diantong Li · Fengxue Zhang · Chong Liu · Yuxin Chen
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Workshop
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Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi · Bach Do · Ruda Zhang
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Workshop
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Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization
Fengxue Zhang · Zejie Zhu · Yuxin Chen
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Workshop
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Fast, Precise Thompson Sampling for Bayesian Optimization
David Sweet
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Workshop
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Sat 16:00
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Invited Talk: Virginia Aglietti - FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
Virginia Aglietti
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Poster
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Fri 16:30
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Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Yunyue Wei · Vincent Zhuang · Saraswati Soedarmadji · Yanan Sui
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Workshop
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Sat 14:00
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Invited Talk: Jacob R. Garnder - Bayesian optimization needs better deep learning
Jacob Gardner
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