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会议文集


文集名AAAI Technical Tracks (Philosophy and Ethics of AI; Planning, Routing, and Scheduling; Reasoning under Uncertainty; Sear and Optimization)
会议名38th AAAI Conference on Artificial Intelligence (AAAI-24), 36th Conference on Innovative Applications of Artificial Intelligence (IAAI-24), 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24)
中译名《第三十八届AAAI人工智能会议，第三十六届人工智能创新应用会议，第十四届人工智能教育进展讨论会，卷18-2》
机构Association for the Advancement of Artificial Intelligence (AAAI)
会议日期20-27 February 2024
会议地点Vancouver, Canada
出版年2024
馆藏号354021


题名作者出版年
Direct Amortized Likelihood Ratio EstimationAdam D. Cobb; Brian Matejek; Daniel Elenius; Anirban Roy; Susmit Jha2024
Probabilistic Offline Policy Ranking with Approximate Bayesian ComputationLongchao Da; Porter Jenkins; Trevor Schwantes; Jeffrey Dotson; Hua Wei2024
Generalized Bradley-Terry Models for Score Estimation from Paired ComparisonsJulien Fageot; Sadegh Farhadkhani; Le-Nguyen Hoang; Oscar Villemaud2024
Identifiability of Direct Effects from Summary Causal GraphsSimon Ferreira; Charles K. Assaad2024
Model Counting and Sampling via Semiring ExtensionsAndreas Goral; Joachim Giesen; Mark Blacher; Christoph Staudt; Julien Klaus2024
Identification for Tree-Shaped Structural Causal Models in Polynomial TimeAaryan Gupta; Markus Blaser2024
Learning GAI-Decomposable Utility Models for Multiattribute Decision MakingMargot Herin; Patrice Perny; Nataliya Sokolovska2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear ModelShunsuke Horii; Yoichi Chikahara2024
Learning Diffusions under UncertaintyHao Huang; Qian Yan; Keqi Han; Ting Gan; Jiawei Jiang; Quanqing Xu; Chuanhui Yang2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal ApproachWen Huang; Xintao Wu2024
Effectiveness of Constant Stepsize in Markovian LSA and Statistical InferenceDongyan (Lucy) Huo; Yudong Chen; Qiaomin Xie2024
Piecewise Linear Transformation - Propagating Aleatoric Uncertainty in Neural NetworksThomas Krapf; Michael Hagn; Paul Miethaner; Alexander Schiller; Lucas Luttner; Bernd Heinrich2024
Probabilities of Causation with Nonbinary Treatment and EffectAng Li; Judea Pearl2024
Unit Selection with Nonbinary Treatment and EffectAng Li; Judea Pearl2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable GuaranteesJinzhao Li; Nan Jiang; Yexiang Xue2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event SequencesYuequn Liu; Ruichu Cai; Wei Chen; Jie Qiao; Yuguang Yan; Zijian Li; Keli Zhang; Zhifeng Hao2024
Colour Passing Revisited: Lifted Model Construction with Commutative FactorsMalte Luttermann; Tanya Braun; Ralf Moller; Marcel Gehrke2024
Root Cause Explanation of Outliers under Noisy MechanismsPhuoc Nguyen; Truyen Tran; Sunil Gupta; Thin Nguyen; Svetha Venkatesh2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise ModelJie Qiao; Zhengming Chen; Jianhua Yu; Ruichu Cai; Zhifeng Hao2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path AnalysisJie Qiao; Yu Xiang; Zhengming Chen; Ruichu Cai; Zhifeng Hao2024
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