conftrace_

maximum likelihood estimator

30 papers

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Also known as

MLE

Co-occurring keywords

maximum likelihood estimation (233) bayesian inference (1907) cramér-rao lower bound (4) single-photon lidar (4) phase transition (92) plackett-luce model (31) asymptotic variance (15) kullback-leibler divergence (181) maximum likelihood (255) parameter estimation (274)

Papers

Distribution Estimation under the Infinity Norm JMLR 2025
Free-running vs Synchronous: Single-Photon Lidar for High-flux 3D Imaging ICCV 2025
Statistical Inference of Random Graphs With a Surrogate Likelihood Function JMLR 2025
Resolution Limit of Single-Photon LiDAR CVPR 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023
Smoothed Analysis of Sequential Probability Assignment NIPS 2023
Demystifying Softmax Gating Function in Gaussian Mixture of Experts NIPS 2023
Inference of a rumor’s source in the independent cascade model UAI 2023
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model ICML 2022
Minimax Estimation of Laplacian Constrained Precision Matrices AISTATS 2021
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies ICML 2021
Consistent recovery threshold of hidden nearest neighbor graphs COLT 2020
Belief Merging Operators as Maximum Likelihood Estimators IJCAI 2020
Fisher Efficient Inference of Intractable Models NIPS 2019
The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019
Robust Matrix Completion from Quantized Observations AISTATS 2019
Clustering from General Pairwise Observations with Applications to Time-varying Graphs JMLR 2017
Rates of estimation for determinantal point processes COLT 2017
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017
Learning Granger Causality for Hawkes Processes ICML 2016
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NIPS 2016
Alternating Minimization for Regression Problems with Vector-valued Outputs NIPS 2015
Open Problem: Tightness of maximum likelihood semidefinite relaxations COLT 2014