maximum likelihood

ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019 Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019 Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR Interspeech 2019 Countdown Regression: Sharp and Calibrated Survival Predictions UAI 2019 Discovering Context Effects from Raw Choice Data ICML 2019 Distributionally Robust Language Modeling EMNLP 2019 Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs ICML 2019 Estimating Network Structure from Incomplete Event Data AISTATS 2019 FloWaveNet : A Generative Flow for Raw Audio ICML 2019 FRAME Revisited: An Interpretation View Based on Particle Evolution AAAI 2019 Invertible Residual Networks ICML 2019 Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning ICCV 2019 Learning rates for Gaussian mixtures under group action COLT 2019 Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019 Residual Flows for Invertible Generative Modeling NeurIPS 2019 Simultaneous Denoising and Dereverberation for Low-Latency Applications Using Frame-by-Frame Online Unified Convolutional Beamformer Interspeech 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019 The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 Training Language GANs from Scratch NeurIPS 2019 Understanding Persuasion Cascades in Online Product Rating Systems AAAI 2019 Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement Interspeech 2018 Estimation with Incomplete Data: The Linear Case IJCAI 2018 Generative Bridging Network for Neural Sequence Prediction NAACL 2018 Gradient Descent Learns Linear Dynamical Systems JMLR 2018 Learning a Mixture of Two Multinomial Logits ICML 2018