conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4,821 papers

Papers per year

Papers

Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model EMNLP 2022
Do Language Models Understand Measurements? EMNLP 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022
Calibrating Factual Knowledge in Pretrained Language Models EMNLP 2022
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models EMNLP 2022
That’s so cute!: The CARE Dataset for Affective Response Detection EMNLP 2022
Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions EMNLP 2022
The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting EMNLP 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games ICML 2022
Structured Stochastic Gradient MCMC ICML 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation ICML 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning ICML 2022
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty ICML 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks ICML 2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes ICML 2022
Approximate Bayesian Computation with Domain Expert in the Loop ICML 2022
Scalable Spike-and-Slab ICML 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning ICML 2022
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications ICML 2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher ICML 2022
Flow-based Recurrent Belief State Learning for POMDPs ICML 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise ICML 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation ICML 2022