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probabilistic inference

310 papers

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Co-occurring keywords

graphical model (863) bayesian inference (1904) variational inference (2069) belief propagation (177) bayesian network (378) probabilistic modeling (851) approximate inference (253) markov chain monte carlo (724) lifted inference (46) message passing (578)

Papers

Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CORL 2018
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NIPS 2017
A Network Framework for Noisy Label Aggregation in Social Media ACL 2017
Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017
Joint Label Inference in Networks JMLR 2017
Stochastic Constraint Programming with And-Or Branch-and-Bound IJCAI 2017
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017
Probabilistic Inference in Hybrid Domains IJCAI 2017
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) IJCAI 2017
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning CORL 2017
An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction INTERSPEECH 2017
Gain Compensation for Fast i-Vector Extraction Over Short Duration INTERSPEECH 2017
Single-Image 3D Scene Parsing Using Geometric Commonsense IJCAI 2017
Weighted Model Integration with Orthogonal Transformations IJCAI 2017
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference RSS 2017
Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach RSS 2017
Improving Semantic Composition with Offset Inference ACL 2017
Reconstructing perceived faces from brain activations with deep adversarial neural decoding NIPS 2017
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach IJCAI 2017
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs RSS 2016
Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016
The Effect of Combination Functions on the Complexity of Relational Bayesian Networks PGM 2016
Learning and Inference via Maximum Inner Product Search ICML 2016
Solving Marginal MAP Problems with NP Oracles and Parity Constraints NIPS 2016