conftrace_

latent variable model

564 papers

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Also known as

LVM

Co-occurring keywords

variational inference (2069) latent variable (541) variational autoencoder (1288) gaussian process (1200) bayesian inference (1907) generative model (2892) expectation maximization (255) unsupervised learning (3264) probabilistic modeling (852) probabilistic model (476)

Papers

On the In-context Generation of Language Models EMNLP 2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024
Identifiability of Product of Experts Models AISTATS 2024
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions AAAI 2024
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems NIPS 2024
Transfer Learning for Latent Variable Network Models NIPS 2024
Learning to Cooperate with Humans using Generative Agents NIPS 2024
Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024
Double InfoGAN for Contrastive Analysis AISTATS 2024
The ELBO of Variational Autoencoders Converges to a Sum of Entropies AISTATS 2023
Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023
Generative Semantic Segmentation CVPR 2023
Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023
Regularized Joint Mixture Models JMLR 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data JMLR 2023
Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision INTERSPEECH 2023
Efficient preconditioned stochastic gradient descent for estimation in latent variable models ICML 2023
Learning Mixtures of Gaussians with Censored Data ICML 2023
RevUp: Revise and Update Information Bottleneck for Event Representation EACL 2023
Indeterminacy in Generative Models: Characterization and Strong Identifiability AISTATS 2023
GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023
Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables JMLR 2023