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Poster
Wed 16:30 Stepping Forward on the Last Mile
Chen Feng · Jay Zhuo · Parker Zhang · Ramchalam Kinattinkara Ramakrishnan · Zhaocong Yuan · Andrew Zou Li
Poster
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization
Xiaoxing Wang · Xiaohan Qin · Xiaokang Yang · Junchi Yan
Workshop
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Henry Moss · Victor Picheny · Hrvoje Stojic · Sebastian Ober · Artem Artemev · Andrei Paleyes · Sattar Vakili · Stratis Markou · Jixiang Qing · Nasrulloh Loka · Ivo Couckuyt
Poster
Wed 16:30 Approximation-Aware Bayesian Optimization
Natalie Maus · Kyurae Kim · David Eriksson · Geoff Pleiss · John Cunningham · Jacob Gardner
Poster
Wed 16:30 DALD: Improving Logits-based Detector without Logits from Black-box LLMs
Cong Zeng · Shengkun Tang · Xianjun Yang · Yuanzhou Chen · Yiyou Sun · Zhiqiang Xu · Yao Li · Haifeng Chen · Wei Cheng · Dongkuan (DK) Xu
Workshop
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
Rohan Deepak Ajwani · Shashidhar Reddy Javaji · Frank Rudzicz · Zining Zhu
Poster
Thu 11:00 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
Anthony Bardou · Patrick Thiran · Giovanni Ranieri
Poster
Monte Carlo Tree Search based Space Transfer for Black Box Optimization
Shukuan Wang · Ke Xue · Song Lei · Xiaobin Huang · Chao Qian
Workshop
Sat 12:00 Consistency-based Black-box Uncertainty Quantification for Text-to-SQL
Debarun Bhattacharjya · Balaji Ganesan · Michael Glass · Junkyu Lee · Radu Marinescu · Katya Mirylenka · Xiao Shou
Poster
Wed 11:00 No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation
Per Kristian Lehre · Shishen Lin
Workshop
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?
Saeid Asgari · Joseph G Lambourne · Alana Mongkhounsavath
Workshop
Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization
Dongxia Wu · Nikki Lijing Kuang · Ruijia Niu · Yian Ma · Rose Yu