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Probabilistic Modeling

2,599 papers

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Papers

Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments ACL 2021
Symbol Grounding and Task Learning from Imperfect Corrections ACL 2021
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ACL 2021
On the Convex Combination of Determinantal Point Processes ACML 2021
Sinusoidal Flow: A Fast Invertible Autoregressive Flow ACML 2021
Contrastive Neural Processes for Self-Supervised Learning ACML 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021
DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks ACML 2021
Bayesian Inference for Optimal Transport with Stochastic Cost ACML 2021
Graphical Normalizing Flows AISTATS 2021
When OT meets MoM: Robust estimation of Wasserstein Distance AISTATS 2021
Benchmarking Simulation-Based Inference AISTATS 2021
Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021
Learning GPLVM with arbitrary kernels using the unscented transformation AISTATS 2021
Predictive Complexity Priors AISTATS 2021
Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions AISTATS 2021
Measure Transport with Kernel Stein Discrepancy AISTATS 2021
Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021
Maximal Couplings of the Metropolis-Hastings Algorithm AISTATS 2021
Latent variable modeling with random features AISTATS 2021
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata AISTATS 2021
Context-Specific Likelihood Weighting AISTATS 2021