conftrace_

latent variable

541 papers

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Co-occurring keywords

variational autoencoder (1288) variational inference (2069) latent variable model (564) generative model (2892) graphical model (864) causal inference (1630) causal discovery (460) representation learning (6206) unsupervised learning (3264) dialogue generation (454)

Papers

Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024
Scalable Learning of Item Response Theory Models AISTATS 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data AISTATS 2024
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024
Noise-Robust Voice Conversion by Conditional Denoising Training Using Latent Variables of Recording Quality and Environment INTERSPEECH 2024
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models IJCAI 2024
Disentangling Linear Quadratic Control with Untrusted ML Predictions NIPS 2024
Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder COLING 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders NIPS 2024
Shuffled Deep Regression AAAI 2024
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers NIPS 2024
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases NAACL 2024
Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling IJCAI 2024
Learning Discrete Concepts in Latent Hierarchical Models NIPS 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables JMLR 2024
Sample Complexity of Interventional Causal Representation Learning NIPS 2024
Learning and scoring Gaussian latent variable causal models with unknown additive interventions JMLR 2024
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NIPS 2024
Multi-Domain Causal Representation Learning via Weak Distributional Invariances AISTATS 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables NIPS 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NIPS 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024