Variational Inference
275 papers
Papers per year
4
7
6
2
7
7
8
13
13
16
9
6
5
12
32
15
26
18
10
32
27
'10
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'25
Papers
Gradient-Free Kernel Stein Discrepancy
NeurIPS 2023
Hyperbolic VAE via Latent Gaussian Distributions
NeurIPS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
NeurIPS 2023
Latent Variable Representation for Reinforcement Learning
ICLR 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
COLT 2023
Learning in temporally structured environments
ICLR 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
NeurIPS 2023
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
ICLR 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent
NeurIPS 2023
Variational Inference with Gaussian Score Matching
NeurIPS 2023
Variational Latent Branching Model for Off-Policy Evaluation
ICLR 2023
Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model
CVPR 2023
Approximate Inference for Stochastic Planning in Factored Spaces
PGM 2022
BayesAdapter: Being Bayesian, Inexpensively and
Reliably, via Bayesian Fine-tuning
ACML 2022
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
ICLR 2022
Disentangled Variational Topic Inference for Topic-Accurate Financial Report Generation
EMNLP 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
NeurIPS 2022
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units
AAAI 2022
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
ICLR 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
ICLR 2022
Knowledge Distillation via Constrained Variational Inference
AAAI 2022
Latent Time Neural Ordinary Differential Equations
AAAI 2022
Learning Object-Oriented Dynamics for Planning from Text
ICLR 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
NeurIPS 2022
Learning Tractable Probabilistic Models from Inconsistent Local Estimates
NeurIPS 2022