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166 Results
Poster
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Fri 16:30 |
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token Roi Cohen · Konstantin Dobler · Eden Biran · Gerard de Melo |
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Poster
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Fri 16:30 |
Lookback Prophet Inequalities Ziyad Benomar · Dorian Baudry · Vianney Perchet |
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Poster
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Wed 11:00 |
Credal Deep Ensembles for Uncertainty Quantification Kaizheng Wang · Fabio Cuzzolin · Shireen Kudukkil Manchingal - · Keivan Shariatmadar · David Moens · Hans Hallez |
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Poster
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Fri 11:00 |
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin · Jannik Kossen · Yarin Gal · Pekka Marttinen |
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Poster
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Fri 16:30 |
Score-based generative models are provably robust: an uncertainty quantification perspective Nikiforos Mimikos-Stamatopoulos · Benjamin Zhang · Markos Katsoulakis |
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Poster
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Thu 16:30 |
Generative Adversarial Model-Based Optimization via Source Critic Regularization Michael Yao · Yimeng Zeng · Hamsa Bastani · Jacob Gardner · James Gee · Osbert Bastani |
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Poster
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Thu 16:30 |
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang · Linjiajie Fang · Kexin SHI · Wenjia Wang · Bingyi Jing |
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Poster
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Fri 11:00 |
Sample-efficient Bayesian Optimisation Using Known Invariances Theodore Brown · Alexandru Cioba · Ilija Bogunovic |
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Poster
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Wed 16:30 |
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space Xin Qiu · Risto Miikkulainen |
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Poster
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Fri 11:00 |
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk · Stefan Feuerriegel · Mihaela van der Schaar |
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Poster
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Combining Statistical Depth and Fermat Distance for Uncertainty Quantification Hai Vy Nguyen · Fabrice Gamboa · Reda CHHAIBI · Sixin Zhang · Serge Gratton · Thierry Giaccone |
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Poster
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Wed 16:30 |
Decision-Focused Learning with Directional Gradients Michael Huang · Vishal Gupta |