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2026 顶会论文

作者位次 #2/2ICLR 2026Poster· General Machine Learning / Causality

GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes

Valentyn Melnychuk · Stefan Feuerriegel

OpenReview

作者位次 #4/4ICLR 2026Poster· General Machine Learning / Causality

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation

Valentyn Melnychuk · Dennis Frauen · Jonas Schweisthal · Stefan Feuerriegel

OpenReview

作者位次 #4/4ICLR 2026Poster· General Machine Learning / Causality

IGC-Net for conditional average potential outcome estimation over time

Konstantin Hess · Dennis Frauen · Valentyn Melnychuk · Stefan Feuerriegel

OpenReview

作者位次 #4/4ICLR 2026Poster· General Machine Learning / Causality

Efficient and Sharp Off-Policy Learning under Unobserved Confounding

Konstantin Hess · Dennis Frauen · Valentyn Melnychuk · Stefan Feuerriegel

效率与系统OpenReview

作者位次 #6/6ICLR 2026Poster· General Machine Learning / Causality

An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes

Emil Javurek · Valentyn Melnychuk · Jonas Schweisthal · Konstantin Hess · Dennis Frauen · Stefan Feuerriegel

OpenReview

作者位次 #4/4ICLR 2026Poster· General Machine Learning / Causality

Foundation Models for Causal Inference via Prior-Data Fitted Networks

Yuchen Ma · Dennis Frauen · Emil Javurek · Stefan Feuerriegel

效率与系统OpenReview

作者位次 #4/4ICLR 2026Poster· General Machine Learning / Causality

Overlap-weighted orthogonal meta-learner for treatment effect estimation over time

Konstantin Hess · Dennis Frauen · Mihaela van der Schaar · Stefan Feuerriegel

OpenReview

作者位次 #4/4KDD 2026Oral· Knowledge Discovery & Data Mining

Slowing Down Forgetting in Continual Learning: Evidence from Manufacturing

Pascal Janetzky · Tobias Schlagenhauf · Michael Klar · Stefan Feuerriegel

检索与知识OpenReview

作者位次 #6/6KDD 2026Oral· Knowledge Discovery & Data Mining

Synthetic Interaction Data for Scalable Personalization in Large Language Models

Yuchen Ma · Yue Huang · Wenjie Wang · Xiaonan Luo · Xiangliang Zhang · Stefan Feuerriegel

对齐与偏好检索与知识OpenReview

作者位次 #13/13KDD 2026Oral· Knowledge Discovery & Data Mining

Causal Methods for LLM Development and Evaluation

Dennis Frauen · Marie Brockschmidt · Konstantin Hess · Haorui Ma · Yuchen Ma · Abdurahman Maarouf · Maresa Schröder · Jonas Schweisthal · Yuxin Wang · Athiya Deviyani · Sonali Parbhoo · Rahul G. Krishnan · Stefan Feuerriegel

评测与基准检索与知识OpenReview

作者位次 #3/3CHI 2026Oral· Human-Computer Interaction

Designing Effective Digital Literacy Interventions for Boosting Deepfake Discernment

Dominique Geissler · Claire Robertson · Stefan Feuerriegel

社会与人本OpenReview

作者位次 #5/6CHI 2026Oral· Human-Computer Interaction

Supporting Effective Goal Setting with LLM-Based Chatbots

Michel Schimpf · Sebastian Maier · Anton Wyrowski · Lara Christoforakos · Stefan Feuerriegel · Thomas Bohné

社会与人本OpenReview

作者位次 #3/3CHI 2026Oral· Human-Computer Interaction

Partnering with Generative AI: Experimental Evaluation of Model-Led and Human-Led Interaction in Human-AI Co-Creation

Sebastian Maier · Manuel Schneider · Stefan Feuerriegel

评测与基准社会与人本OpenReview

Stefan Feuerriegel

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2026 顶会论文

GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation

IGC-Net for conditional average potential outcome estimation over time

Efficient and Sharp Off-Policy Learning under Unobserved Confounding

An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes

Foundation Models for Causal Inference via Prior-Data Fitted Networks

Overlap-weighted orthogonal meta-learner for treatment effect estimation over time

Slowing Down Forgetting in Continual Learning: Evidence from Manufacturing

Synthetic Interaction Data for Scalable Personalization in Large Language Models

Causal Methods for LLM Development and Evaluation

Designing Effective Digital Literacy Interventions for Boosting Deepfake Discernment

Supporting Effective Goal Setting with LLM-Based Chatbots

Partnering with Generative AI: Experimental Evaluation of Model-Led and Human-Led Interaction in Human-AI Co-Creation

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