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https://ideas.repec.org/p/hal/journl/hal-01447864.html Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence... Estimation methods of bivariate fractional cointegration models are numerous and have in most cases non-equivalent asymptotic and finite sample properties,... optimal estimation https://www.mdpi.com/2072-4292/13/10/1865 Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and... Stack emissions from the industrial sector are a subject of concern for air quality. However, the characterization of the stack emission plume properties from... optimal estimation industrial plume properties retrieved https://arxiv.org/abs/quant-ph/0012015 [quant-ph/0012015] Optimal estimation of quantum dynamics Abstract page for arXiv paper quant-ph/0012015: Optimal estimation of quantum dynamics optimal estimation quant ph dynamics https://jmlr.org/papers/v21/20-079.html Optimal Estimation of Sparse Topic Models optimal estimation sparse topic models https://www.tableau.com/en-gb/research/publications/count-min-optimal-estimation-and-tight-error-bounds Count-Min: Optimal Estimation and Tight Error Bounds optimal estimation count min tight error https://www.usgs.gov/publications/optimal-estimation-suspended-sediment-concentrations-streams Optimal estimation of suspended-sediment concentrations in streams | U.S. Geological Survey Optimal estimators are developed for computation of suspended-sediment concentrations in streams. The estimators are a function of parameters, computed by use... optimal estimation suspended sediment https://deepai.org/publication/optimal-target-shape-for-lidar-pose-estimation Optimal Target Shape for LiDAR Pose Estimation | DeepAI Sep 2, 2021 - 09/02/21 - Targets are essential in problems such as object tracking in cluttered or textureless environments, camera (and multi-sensor) cali... pose estimation optimal target shape lidar https://www.tableau.com/zh-cn/research/publications/towards-optimal-cardinality-estimation-unions-and-intersections-sketches Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches. cardinality estimation towards optimal unions intersections https://openreview.net/forum?id=yCdJnwfEoj&referrer=%5Bthe%20profile%20of%20Ilias%20Zadik%5D(%2Fprofile%3Fid%3D~Ilias_Zadik2) Optimal Private Median Estimation under Minimal Distributional Assumptions | OpenReview We study the fundamental task of estimating the median of an underlying distribution from a finite number of samples, under pure differential privacy... optimal private median estimation minimal https://openreview.net/forum?id=ZBrSA6x9HN Learning Protocols for Non-Equilibrium Conformational Free-Energy Estimation Using Optimal... Accurate estimation of conformational free-energy differences is crucial in drug discovery, particularly for understanding protein-ligand stability and... non equilibrium free energy learning protocols https://openreview.net/forum?id=tYVDkoymXT&referrer=%5Bthe%20profile%20of%20Wei%20Deng%5D(%2Fprofile%3Fid%3D~Wei_Deng1) Optimal Stochastic Trace Estimation in Generative Modeling | OpenReview Hutchinson estimators are widely employed in training divergence-based likelihoods for diffusion models to ensure optimal transport (OT) properties. However,... generative modeling optimal stochastic trace estimation https://deepai.org/publication/minimax-optimal-online-imitation-learning-via-replay-estimation Minimax Optimal Online Imitation Learning via Replay Estimation | DeepAI May 30, 2022 - 05/30/22 - Online imitation learning is the problem of how best to mimic expert demonstrations, given access to the environment or an accurat... imitation learning minimax optimal online via https://openreview.net/forum?id=sH5jiMaIb5H&referrer=%5Bthe%20profile%20of%20Ruibo%20Li%5D(%2Fprofile%3Fid%3D~Ruibo_Li2) Self-point-flow: Self-supervised scene flow estimation from point clouds with optimal transport and... Due to the scarcity of annotated scene flow data, self-supervised scene flow learning in point clouds has attracted increasing attention. In the... https://arxiv.org/abs/1711.06644v3 [1711.06644v3] Nearly Optimal Stochastic Approximation for Online Principal Subspace Estimation Abstract page for arXiv paper 1711.06644v3: Nearly Optimal Stochastic Approximation for Online Principal Subspace Estimation stochastic approximation 1711 nearly optimal https://www.mdpi.com/1424-8220/20/20/5740 A Novel Coarse Alignment Method for SINS Using Special Orthogonal Group Optimal Estimation Aimed at the alignment problem of strapdown inertial navigation system (SINS) on the swing base, a novel coarse alignment method using special orthogonal group... https://arxiv.org/abs/2408.08494v1 [2408.08494v1] Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms Abstract page for arXiv paper 2408.08494v1: Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms https://openreview.net/forum?id=fqfHJqNy_uY Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections... We provide a new stability estimate for barycentric projections under minimal smoothness assumptions which we use to prove rates of convergence for general... https://openreview.net/forum?id=Gz4mw5xWUi Near-optimal algorithms for private estimation and sequential testing of collision probability |... for private https://ideas.repec.org/a/ecm/emetrp/v68y2000i3p525-574.html Optimal Nonparametric Estimation of First-Price Auctions No abstract is available for this item. nonparametric estimation first price optimal auctions https://openreview.net/forum?id=PTGJOUlQ68 Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages |... https://openreview.net/forum?id=CI5Cj0vktS Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport | OpenReview Aggregating data from multiple sources can be formalized as an *Optimal Transport* (OT) barycenter problem, which seeks to compute the average of probability... optimal transport robust barycenter estimation using https://arxiv.org/abs/2601.06830v2 [2601.06830v2] Constrained Density Estimation via Optimal Transport Abstract page for arXiv paper 2601.06830v2: Constrained Density Estimation via Optimal Transport density estimation 2601 constrained via optimal https://deepai.org/publication/an-optimal-statistical-and-computational-framework-for-generalized-tensor-estimation An Optimal Statistical and Computational Framework for Generalized Tensor Estimation | DeepAI Feb 26, 2020 - 02/26/20 - This paper describes a flexible framework for generalized low-rank tensor estimation problems that includes many important instanc... optimal statistical computational https://uwaterloo.ca/applied-mathematics/events/masters-defense-tawsif-khan-optimal-sensor-location Master's Defense | Tawsif Khan, Optimal Sensor Location for the Estimation of a Linear Dispersive... https://ccsenet.org/journal/index.php/jas/article/view/29997 Estimation of Optimal Land Use Allocation Among Small Holder (A1) Farmer Households in Zimbabwe. A... Estimation of Optimal Land Use Allocation Among Small Holder (A1) Farmer Households in Zimbabwe. A Case Study of Long Croft Farm, in Mazowe District https://jmlr.org/papers/v24/22-1053.html Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian... https://openreview.net/forum?id=w3ghbKBJg4 Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models | OpenReview We study the maximum likelihood estimation (MLE) in the multivariate deviated model where the data are generated from the density function... parameter estimation minimax optimal rate https://openreview.net/forum?id=qR7YsQdFxV All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments... We consider the basic statistical challenge of designing an "all-purpose" mean estimation algorithm that is recommendable across a variety of settings and... https://arxiv.org/abs/1505.06794v1 [1505.06794v1] Optimal Bayesian estimation in stochastic block models Abstract page for arXiv paper 1505.06794v1: Optimal Bayesian estimation in stochastic block models bayesian estimation 1505 optimal stochastic block https://openreview.net/forum?id=2zIlKYx6iV Minimax estimation of discontinuous optimal transport maps: The semi-discrete case | OpenReview optimal transport https://www.tableau.com/de-de/research/publications/towards-optimal-cardinality-estimation-unions-and-intersections-sketches Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches. cardinality estimation towards optimal unions intersections https://www.tableau.com/it-it/research/publications/towards-optimal-cardinality-estimation-unions-and-intersections-sketches Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches. cardinality estimation towards optimal unions intersections https://arxiv.org/abs/2403.13828 [2403.13828] Optimal State Estimation in the Presence of Non-Gaussian Uncertainty via Wasserstein... Abstract page for arXiv paper 2403.13828: Optimal State Estimation in the Presence of Non-Gaussian Uncertainty via Wasserstein Distance Minimization https://jmlr.org/papers/v26/23-1160.html Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning sample selection https://aclanthology.org/2021.repl4nlp-1.10/ Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational... Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Tianyu Liu, Zhifang Sui, Baobao Chang. Proceedings of the 6th Workshop on Representation Learning for NLP... out of knowledge graph