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parameter estimation

274 papers

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Co-occurring keywords

bayesian inference (1904) expectation maximization (254) graphical model (863) mixture model (262) maximum likelihood (255) maximum likelihood estimation (233) sample complexity (1158) latent variable model (564) tensor decomposition (374) exponential family (124)

Papers

A Fourier Approach to Mixture Learning NIPS 2022
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints NIPS 2022
Finite-Sample Maximum Likelihood Estimation of Location NIPS 2022
Learning from Stochastically Revealed Preference NIPS 2022
A Difference Standardization Method for Mutual Transfer Learning ICML 2022
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022
Breaking the $\sqrtT$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits ICML 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation AAAI 2022
Method of Moments for Topic Models with Mixed Discrete and Continuous Features IJCAI 2021
Outlier Impact Characterization for Time Series Data AAAI 2021
Statistical Estimation from Dependent Data ICML 2021
Learning to Select Exogenous Events for Marked Temporal Point Process NIPS 2021
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs L4DC 2021
Deterministic Finite-Memory Bias Estimation COLT 2021
A Computationally Efficient Method for Learning Exponential Family Distributions NIPS 2021
On Estimation in Latent Variable Models ICML 2021
Optimality of variational inference for stochasticblock model with missing links NIPS 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021
On Variational Inference in Biclustering Models ICML 2021
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements ICCV 2021
The neural moving average model for scalable variational inference of state space models UAI 2021
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020
Active Learning for Identification of Linear Dynamical Systems COLT 2020
High-dimensional quantile tensor regression JMLR 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020