marginal probability

Where is the signal in tokenization space? EMNLP 2024 On inference and learning with probabilistic generating circuits UAI 2023 Should you marginalize over possible tokenizations? ACL 2023 SIMPLE: A Gradient Estimator for k-Subset Sampling ICLR 2023 Abstract Argumentation Frameworks with Marginal Probabilities IJCAI 2022 Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022 Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021 Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation EMNLP 2020 Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models EMNLP 2018 The Parameterized Complexity of Approximate Inference in Bayesian Networks PGM 2016 Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016 Uprooting and Rerooting Graphical Models ICML 2016 Online Prediction at the Limit of Zero Temperature NeurIPS 2015 The Benefits of Learning with Strongly Convex Approximate Inference ICML 2015 Inference algorithms for pattern-based CRFs on sequence data ICML 2013 Latent Structured Active Learning NeurIPS 2013 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NeurIPS 2011 Learning unbelievable probabilities NeurIPS 2011