Co-occurring keywords · papers mentioning both
Papers
On Importance Sampling-Based Evaluation of Latent Language Models
ACL 2020
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes
ICML 2020
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes
UAI 2020
Ordering Variables for Weighted Model Integration
UAI 2020
Probabilistic Inference for Predicate Constraint Satisfaction
AAAI 2020
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
NeurIPS 2020
Reward Propagation Using Graph Convolutional Networks
NeurIPS 2020
Scaling Up AND/OR Abstraction Sampling
IJCAI 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
ICML 2020
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings
UAI 2020
Temporal Logics Over Finite Traces with Uncertainty
AAAI 2020
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
CoRL 2020
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
AISTATS 2019
A neurally plausible model for online recognition and postdiction in a dynamical environment
NeurIPS 2019
Approximate Bayesian Inference in Spatial Environments
RSS 2019
A Regularized Opponent Model with Maximum Entropy Objective
IJCAI 2019
Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference?
UAI 2019
Consistency by Agreement in Zero-Shot Neural Machine Translation
NAACL 2019
Coordinated hippocampal-entorhinal replay as structural inference
NeurIPS 2019
Deep Convolutional Sum-Product Networks
AAAI 2019
Efficient Search-Based Weighted Model Integration
UAI 2019
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
NeurIPS 2019
Generating and Sampling Orbits for Lifted Probabilistic Inference
UAI 2019
How to Exploit Structure while Solving Weighted Model Integration Problems
UAI 2019
Meta-Learning Probabilistic Inference for Prediction
ICLR 2019