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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Neural Networks for Predicting Algorithm Runtime Distributions IJCAI 2018
HOGWILD!-Gibbs can be PanAccurate NIPS 2018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018
Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018
Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus IJCAI 2018
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NIPS 2018
Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018
Possibilistic ASP Base Revision by Certain Input IJCAI 2018
Solving M-Modes in Loopy Graphs Using Tree Decompositions PGM 2018
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018
Scalable Generalized Dynamic Topic Models AISTATS 2018
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling AISTATS 2018
Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition NIPS 2018
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018
Learning and Inference in Hilbert Space with Quantum Graphical Models NIPS 2018
Scalable approximate Bayesian inference for particle tracking data ICML 2018
Heterogeneous Multi-output Gaussian Process Prediction NIPS 2018
Randomized Prior Functions for Deep Reinforcement Learning NIPS 2018
DMC: A Distributed Model Counter IJCAI 2018
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning ICML 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018