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53 Results
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Workshop
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Lightspeed Black-box Bayesian Optimization via Local Score Matching Yakun Wang · Sherman Khoo · Song Liu |
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Poster
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Wed 11:00 |
No-Regret Bandit Exploration based on Soft Tree Ensemble Model Shogo Iwazaki · Shinya Suzumura |
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Poster
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Wed 16:30 |
Stepping Forward on the Last Mile Chen Feng · Jay Zhuo · Parker Zhang · Ramchalam Kinattinkara Ramakrishnan · Zhaocong Yuan · Andrew Zou Li |
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Poster
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ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization Xiaoxing Wang · Xiaohan Qin · Xiaokang Yang · Junchi Yan |
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Workshop
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Sat 12:00 |
Black-box Uncertainty Quantification Method for LLM-as-a-Judge Nico Wagner · Michael Desmond · Rahul Nair · Zahra Ashktorab · Elizabeth Daly · Qian Pan · Martín Santillán Cooper · J Johnson · Werner Geyer |
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Poster
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Wed 16:30 |
Approximation-Aware Bayesian Optimization Natalie Maus · Kyurae Kim · David Eriksson · Geoff Pleiss · John Cunningham · Jacob Gardner |
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Poster
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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 |
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Poster
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Monte Carlo Tree Search based Space Transfer for Black Box Optimization Shukuan Wang · Ke Xue · Song Lei · Xiaobin Huang · Chao Qian |
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Workshop
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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 |
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Poster
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Thu 16:30 |
HYDRA: Model Factorization Framework for Black-Box LLM Personalization Yuchen Zhuang · Haotian Sun · Yue Yu · Rushi Qiang · Qifan Wang · Chao Zhang · Bo Dai |
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Poster
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Wed 11:00 |
No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation Per Kristian Lehre · Shishen Lin |
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Poster
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Wed 16:30 |
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms Felix Petersen · Christian Borgelt · Tobias Sutter · Hilde Kuehne · Oliver Deussen · Stefano Ermon |