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Bayesian Inference

6,267 papers

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Papers

Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention EMNLP 2022 Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently UAI 2022 Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022 Expressive, Variable, and Controllable Duration Modelling in TTS Interspeech 2022 FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022 Fair Bayes-Optimal Classifiers Under Predictive Parity NeurIPS 2022 Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022 Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022 Fast Bayesian Estimation of Point Process Intensity as Function of Covariates NeurIPS 2022 Fast Fourier Transform Reductions for Bayesian Network Inference AISTATS 2022 Fast Instrument Learning with Faster Rates NeurIPS 2022 Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022 Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning ICML 2022 Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing AAAI 2022 Feature Space Particle Inference for Neural Network Ensembles ICML 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 FedPop: A Bayesian Approach for Personalised Federated Learning NeurIPS 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NeurIPS 2022 Fixed-Distance Hamiltonian Monte Carlo NeurIPS 2022 Flow-based Recurrent Belief State Learning for POMDPs ICML 2022 Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process Learning L4DC 2022 Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains NeurIPS 2022 Foundation Posteriors for Approximate Probabilistic Inference NeurIPS 2022 From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022 From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models EMNLP 2022