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Variational Inference

40 directly classified papers

Papers per year

Papers

Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026
Enhance Vision-Language Alignment with Noise AAAI 2025
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
Score-Based Diffusion Models as Principled Priors for Inverse Imaging ICCV 2023
On the Convergence of Black-Box Variational Inference NIPS 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023
Disentangling Uncertainty in Machine Translation Evaluation EMNLP 2022
Riemannian Diffusion Models NIPS 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NIPS 2022
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022
Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows AAAI 2022
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NIPS 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions NIPS 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition AAAI 2021
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021
Fast and Flexible Temporal Point Processes with Triangular Maps NIPS 2020
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation COLING 2020
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation EMNLP 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NIPS 2019
Variational Inference and Deep Generative Models ACL 2018
A Generative Parser with a Discriminative Recognition Algorithm ACL 2017