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

Learning rates for Gaussian mixtures under group action COLT 2019
The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019
ARAML: A Stable Adversarial Training Framework for Text Generation IJCNLP 2019
Estimating Network Structure from Incomplete Event Data AISTATS 2019
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019
FloWaveNet : A Generative Flow for Raw Audio ICML 2019
Discovering Context Effects from Raw Choice Data ICML 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs ICML 2019
Invertible Residual Networks ICML 2019
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning ICCV 2019
Simultaneous Denoising and Dereverberation for Low-Latency Applications Using Frame-by-Frame Online Unified Convolutional Beamformer INTERSPEECH 2019
FRAME Revisited: An Interpretation View Based on Particle Evolution AAAI 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NIPS 2019
Residual Flows for Invertible Generative Modeling NIPS 2019
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR INTERSPEECH 2019
Distributionally Robust Language Modeling EMNLP 2019
Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018
Generative Bridging Network for Neural Sequence Prediction NAACL 2018
Estimation with Incomplete Data: The Linear Case IJCAI 2018
Neural Networks for Predicting Algorithm Runtime Distributions IJCAI 2018
Learning a Mixture of Two Multinomial Logits ICML 2018
Out-of-sample extension of graph adjacency spectral embedding ICML 2018
Learning Determinantal Point Processes in Sublinear Time AISTATS 2018