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

Is Score Matching Suitable for Estimating Point Processes? NIPS 2024

An information-theoretic lower bound in time-uniform estimation COLT 2024

Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024

Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NIPS 2024

On Parameter Estimation in Deviated Gaussian Mixture of Experts AISTATS 2024

Near-Optimality of Contrastive Divergence Algorithms NIPS 2024

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024

Trade-Offs of Diagonal Fisher Information Matrix Estimators NIPS 2024

Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024

Identifiability of Product of Experts Models AISTATS 2024

Quantum Deep Equilibrium Models NIPS 2024

On the sample complexity of parameter estimation in logistic regression with normal design COLT 2024

Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024

Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023

“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023

Learning Mixtures of Gaussians with Censored Data ICML 2023

Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints AAAI 2023

Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 2023

On the Estimation of Gaussian Mixture Copula Models ICML 2023

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints NIPS 2023

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation CVPR 2023

Demystifying Softmax Gating Function in Gaussian Mixture of Experts NIPS 2023

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NIPS 2023

DNN-based Parameter Estimation for MVDR Beamforming and Post-filtering INTERSPEECH 2023

Learning Exponential Families from Truncated Samples NIPS 2023