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Variational Inference

11 directly classified papers

Papers per year

Papers

Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling AAAI 2025
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally AAAI 2025
Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates AAAI 2022
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Challenging the Semi-Supervised VAE Framework for Text Classification EMNLP 2021
Deep Generative Models with Learnable Knowledge Constraints NIPS 2018
Stock Movement Prediction from Tweets and Historical Prices ACL 2018
How They Vote: Issue-Adjusted Models of Legislative Behavior NIPS 2012