← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Variational Inference

767 directly classified papers

Papers per year

Papers

Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NIPS 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE NIPS 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020
Online Neural Connectivity Estimation with Noisy Group Testing NIPS 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks NIPS 2020
Probabilistic Circuits for Variational Inference in Discrete Graphical Models NIPS 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent NIPS 2020
Stein Self-Repulsive Dynamics: Benefits From Past Samples NIPS 2020
Efficient Low Rank Gaussian Variational Inference for Neural Networks NIPS 2020
Decision-Making with Auto-Encoding Variational Bayes NIPS 2020
Generalized Zero-Shot Learning via Over-Complete Distribution CVPR 2020
Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning EMNLP 2020
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020
Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods NIPS 2020
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling EMNLP 2020
Probabilistic Graphical Models with Neural Networks in InferPy PGM 2020
Deep Sigma Point Processes UAI 2020
Variational Neural Machine Translation with Normalizing Flows ACL 2020
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020
DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020