conftrace_

maximum likelihood

255 papers

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Also known as

ML

Co-occurring keywords

maximum likelihood estimation (233) generative model (2892) variational inference (2069) parameter estimation (274) neural network (6616) expectation maximization (255) energy-based model (251) probabilistic modeling (852) markov chain monte carlo (725) normalizing flow (354)

Papers

Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023
Provable benefits of score matching NIPS 2023
Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator CVPR 2023
Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023
OverFlow: Putting flows on top of neural transducers for better TTS INTERSPEECH 2023
Likelihood-Based Diffusion Language Models NIPS 2023
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023
Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 2023
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NIPS 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives NIPS 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract) AAAI 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation NIPS 2023
Robust learning of tractable probabilistic models UAI 2022
Generative Cooperative Networks for Natural Language Generation ICML 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows NIPS 2022
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022
Convergence Rates for Gaussian Mixtures of Experts JMLR 2022
Sufficient reductions in regression with mixed predictors JMLR 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model NIPS 2022
BRIO: Bringing Order to Abstractive Summarization ACL 2022
On the Learning of Non-Autoregressive Transformers ICML 2022
Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022
Truth-Tracking via Approval Voting: Size Matters AAAI 2022