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 Time-Varying Coverage Functions NIPS 2014
Clustering from Labels and Time-Varying Graphs NIPS 2014
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo ACML 2014
Distributed Estimation, Information Loss and Exponential Families NIPS 2014
Influence Function Learning in Information Diffusion Networks ICML 2014
Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014
Structured Learning via Logistic Regression NIPS 2013
Robust Matrix Factorization with Unknown Noise ICCV 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs NIPS 2013
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013
Spectral methods for neural characterization using generalized quadratic models NIPS 2013
Detecting and Naming Actors in Movies Using Generative Appearance Models CVPR 2013
Random Utility Theory for Social Choice NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
An Introduction to Artificial Prediction Markets for Classification JMLR 2012
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
Sample Complexity of Composite Likelihood AISTATS 2012
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results ACML 2011
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds JMLR 2010