Bayesian Inference
6,267 papers
Papers per year
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104
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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