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

Naive Feature Selection: Sparsity in Naive Bayes AISTATS 2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NIPS 2020
Fˆ2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax EMNLP 2020
Quantum Expectation-Maximization for Gaussian mixture models ICML 2020
Estimation Rates for Sparse Linear Cyclic Causal Models UAI 2020
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models UAI 2020
General Purpose MRF Learning with Neural Network Potentials IJCAI 2020
Perceptual Generative Autoencoders ICML 2020
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations ICML 2020
WaveFlow: A Compact Flow-based Model for Raw Audio ICML 2020
Learning from Aggregate Observations NIPS 2020
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation ICML 2020
Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020
Learning Latent Space Energy-Based Prior Model NIPS 2020
PEP: Parameter Ensembling by Perturbation NIPS 2020
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence AAAI 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020
Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training ACL 2020
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods COLING 2020
Discovering Context Effects from Raw Choice Data ICML 2019
FloWaveNet : A Generative Flow for Raw Audio ICML 2019
A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective INTERSPEECH 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NIPS 2019
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019