yusuke1997/dblp-id-title huggingface dataset:
Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates
Efficient generation of random vectors by using the ratio-of-uniforms method with ellipsoidal envelopes
Automatic choice of driving values in Monte Carlo likelihood approximation via posterior simulations
Variable selection and estimation for high dimensional partially linear varying coefficient models with missing data and measurement errors based on quantile regression
Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison
Numerical performance of block thresholded wavelet estimators
Robust supervised learning with coordinate gradient descent
A fast algorithm for non-negativity model selection
Optimal response-free Poisson subsampling for generalized linear models in increasing dimension
Bayesian regularisation in geoadditive expectile regression
Functional diffusion maps
Adaptive independence samplers
Variance decompositions of nonlinear time series using stochastic simulation and sensitivity analysis
Variable selection using a smooth information criterion for distributional regression models
Marginal maximum a posteriori estimation using Markov chain Monte Carlo
The Group R2D2 Shrinkage Prior for Sparse Linear Models with Grouped Covariates
Symbolic cumulant calculations for frequency domain time series
Correction to: Inferring large graphs using ℓ 1 -penalized likelihood
Fitting multiplicative models by robust alternating regressions
Scalable variational inference for multinomial probit models under large choice sets and sample sizes
Fitting monotone polynomials in mixed effects models
Augmentation schemes for particle MCMC
Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm
Computing functions of random variables via reproducing kernel Hilbert space representations
A relaxed approach to combinatorial problems in robustness and diagnostics
An information theoretic approach to post randomization methods under differential privacy
Representation and simulation of multivariate Dickman distributions and Vervaat perpetuities
On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective
Variable selection for model-based clustering using the integrated complete-data likelihood
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach
Enmsp: an elastic-net multi-step screening procedure for high-dimensional regression
Subsampling for Big Data Linear Models with Measurement Errors
Stab-GKnock: controlled variable selection for partially linear models using generalized knockoffs
Hierarchical Gaussian process mixtures for regression
NuZZ: Numerical Zig-Zag for general models
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood
Comparing unconstrained parametrization methods for return covariance matrix prediction
Selecting the tuning parameter in penalized Gaussian graphical models
Inference for L 2 -Boosting
Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models
Resolving data imbalance in transfer learning: a simple random sampling approach
Bounding convergence rates for Markov chains: An example of the use of computer algebra
Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks
Convergence rates for optimised adaptive importance samplers
Interpolating log-determinant and trace of the powers of matrix bfA + tbfB
Improving the efficiency and robustness of nested sampling using posterior repartitioning
Another look at linear programming for feature selection via methods of regularization
Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data
Efficient SMC 2 schemes for stochastic kinetic models
A semi-parametric method for transforming data to normality
Bayesian finite mixtures with an unknown number of components: The allocation sampler
Model-based clustering with determinant-and-shape constraint
Minimax estimation of a probability of success under LINEX loss
Information matrix for hidden Markov models with covariates
Avoiding spurious local maximizers in mixture modeling
Multilevel structured additive regression
Guest Editorial: Introduction
Truncated Poisson-Dirichlet approximation for Dirichlet process hierarchical models
Dependence aliasing and the control of family-wise error rate in multiple hypothesis testing
Optimizing Latin hypercube designs by particle swarm
Cholesky-GARCH models with applications to finance
A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD)
Pseudo-likelihood estimation for a class of spatial Markov chains
A finite mixture model for multiple dependent competing risks with applications of automotive warranty claims data
The expected bit complexity of the von Neumann rejection algorithm
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
De-noising by thresholding operator adapted wavelets
A statistical test for Nested Sampling algorithms
Bayesian additive weighted composite quantile regression
Sparse regression techniques in low-dimensional survival data settings
Computing the log concave NPMLE for interval censored data
Approximate confidence interval construction for risk difference under inverse sampling
Model distances for vine copulas in high dimensions
Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks
Data fusion using factor analysis and low-rank matrix completion
Mean-restricted Matrix-variate Normals with an application to clustering
Robust Bayesian functional principal component analysis
Online estimation and community detection of network point processes for event streams
John Lawson: Design and analysis of experiments with SAS - Chapman and Hall/CRC Press, 2010
Zero variance Markov chain Monte Carlo for Bayesian estimators
Adaptive lifting for nonparametric regression
The effective number of parameters in kernel density estimation
Semi-parametric bivariate polychotomous ordinal regression
Introduction to "Scalable inference for Markov processes with intractable likelihoods" by J. Owen, D. Wilkinson, C. Gillespie
Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions
Variational approximations in geoadditive latent Gaussian regression: mean and quantile regression
Estimation and inference for error variance in bivariate nonparametric regression
BOB: Bayesian optimized bootstrap for approximate posterior sampling in Gaussian mixture models
An efficient workflow for modelling high-dimensional spatial extremes
Diagonal latent block model for binary data
On estimating the structure factor of a point process, with applications to hyperuniformity
Testing Time Series for Nonlinearity
Transformation models with informative partly interval-censored data
Toroidal PCA via density ridges
Symbolic computation for approximating distributions of some families of one and two-sample nonparametric test statistics
Application of a predictive distribution formula to Bayesian computation for incomplete data models
Improved inference for areal unit count data using graph-based optimisation
K-fold cross-validation based frequentist model averaging for linear models with nonignorable missing responses
Wavelet packet transfer function modelling of nonstationary time series
A data-adaptive dimension reduction for functional data via penalized low-rank approximation
Approximate blocked Gibbs sampling for Bayesian neural networks
Anomaly and Novelty detection for robust semi-supervised learning
Enhancing Proportional Hazards Mixture Cure Models with Transfer Learning for Interval-Censored Data
Spectral estimation for locally stationary time series with missing observations
Fair conformal prediction for incomplete covariate data
Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Least squares and shrinkage estimation under bimonotonicity constraints
Optimal designs for dose-escalation trials and individual allocations in cohorts
Parameter estimation for fractional birth and fractional death processes
Analyzing space-time sensor network data under suppression and failure in transmission
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations
Robust model-based sampling designs
Multilocus linkage analysis by blocked Gibbs sampling
Consistency of the maximum likelihood estimator in seasonal hidden Markov models
Practical Considerations for Implementing the Isolation Forest EWMA Control Chart in Phase II Process Monitoring
MML Markov classification of sequential data
Bayesian covariance matrix estimation using a mixture of decomposable graphical models
A rejoinder to the comments by Polettini and Stander
Limitations of the Wasserstein MDE for univariate data
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function
Estimating generalized semiparametric additive models using parameter cascading
Nonparametric estimation of probabilistic sensitivity measures
Sampling from manifold-restricted distributions using tangent bundle projections
Influential data points in predictive logistic models
Estimation in nonlinear mixed-effects models using heavy-tailed distributions
Improving model choice in classification: an approach based on clustering of covariance matrices
A computational framework for empirical Bayes inference
Erratum to: Computationally tractable approximate and smoothed Polya trees
Supervised functional principal component analysis
A stopping rule for structure-preserving variable selection
Multiple-population shrinkage estimation via sliced inverse regression
An expectile computation cookbook
SURE-tuned bridge regression
Wasserstein principal component analysis for circular measures
A two-stage Bayesian semiparametric model for novelty detection with robust prior information
Assessing robustness of crossover designsto subjects dropping out
Improving tree probability estimation with stochastic optimization and variance reduction
A 4D-Var method with flow-dependent background covariances for the shallow-water equations
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection
Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance
Bayesian inference in non-Gaussian factor analysis
Penalized distributed lag non-linear models for small area data using Laplacian-P-splines
MCMC implementation for Bayesian hidden semi-Markov models with illustrative applications
Structured priors for sparse probability vectors with application to model selection in Markov chains
A new test for the presence of a normal mixture distribution based on the posterior Bayes factor
Achieving fairness with a simple ridge penalty
Inference in model-based cluster analysis
Adaptive Metropolis-Hastings sampling using reversible dependent mixture proposals
Efficient and generalizable tuning strategies for stochastic gradient MCMC
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model
Optimal classification of Gaussian processes in homo- and heteroscedastic settings
Inference for circular distributions and processes
Simulation based Bayesian Optimization
Penalized model-based clustering of complex functional data
Simulation based calibration using extended balanced augmented empirical likelihood
Estimation of relative risk for events on a linear network
Families of splitting criteria for classification trees
Total effects with constrained features
The first-passage-time moments for the Hougaard process and its Birnbaum-Saunders approximation
Controlling the size of multivariate outlier tests with the MCD estimator of scatter
Relabelling in Bayesian mixture models by pivotal units
Profile likelihood in directed graphical models from BUGS output
An explanation of generalized profile likelihoods
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions - The tEIGEN family
Pseudo-R2D2 prior for high-dimensional ordinal regression
Multilevel and Multi-index Monte Carlo methods for the McKean-Vlasov equation
Comparison of a genetic algorithm and simulated annealing in an application to statistical image reconstruction
Reverse engineering gene regulatory networks using approximate Bayesian computation
Finding Interpretable Data Pockets in Tabular Data
Iterative numerical methods for sampling from high dimensional Gaussian distributions
Adaptive shrinkage of singular values
Locally induced Gaussian processes for large-scale simulation experiments
Robust mixture modelling using the t distribution
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo
Simple and effective number-of-bins circumference selectors for a histogram
Bootstrap tests for almost goodness-of-fit
GParareal: a time-parallel ODE solver using Gaussian process emulation
Adaptive iterative Hessian sketch via A-optimal subsampling
Robust fitting for generalized additive models for location, scale and shape
Flexible non-parametric regression models for compositional response data with zeros
The flood algorithm - a multivariate, self-organizing-map-based, robust location and covariance estimator
Irreversible samplers from jump and continuous Markov processes
An algorithm for computing principal points with respect to a loss function in the unidimensional case
Efficient estimation of variance components in nonparametric mixed-effects models with large samples
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
New forest-based approaches for sufficient dimension reduction
A Riemannian Newton trust-region method for fitting Gaussian mixture models
A flexible particle Markov chain Monte Carlo method
Finite mixtures of multivariate skew t-distributions: some recent and new results
Detecting discontinuities in nonparametric regression curves and surfaces
A limit formula and a series expansion for the bivariate Normal tail probability
Smooth functional tempering for nonlinear differential equation models
Distributed statistical optimization for non-randomly stored big data with application to penalized learning
Digitalization and servitization of machine tools in the era of Industry 4.0
Intelligent tool wear prediction based on Informer encoder and stacked bidirectional gated recurrent unit
Design of the parallel mechanism for a hybrid mobile robot in wind turbine blades polishing
Variable impedance control on contact-rich manipulation of a collaborative industrial mobile manipulator: An imitation learning approach
A framework for human-robot collaboration enhanced by preference learning and ergonomics
Learning by doing: A dual-loop implementation architecture of deep active learning and human-machine collaboration for smart robot vision
Robot digital twin systems in manufacturing: Technologies, applications, trends and challenges
On the consistency of path smoothing and trajectory planning in CNC machining: A surface-centric evaluation
Robotic grinding and polishing of complex aeroengine blades based on new device design and variable impedance control
Digital twin enhanced quality prediction method of powder compaction process
Posture optimization in robotic machining based on comprehensive deformation index considering spindle weight and cutting force
Towards Zero-Warehousing Smart Manufacturing from Zero-Inventory Just-In-Time production
Universal fillet weld joint recognition and positioning for robot welding using structured light
Toward generalizable robot vision guidance in real-world operational manufacturing factories: A Semi-Supervised Knowledge Distillation approach
Microservice-based digital twin system towards smart manufacturing
Robotic measurement system based on cooperative optical profiler integrating fringe projection with photometric stereo for highly reflective workpiece
ACWGAN-GP for milling tool breakage monitoring with imbalanced data
Accurate error compensation method for multi-axis parallel machine via singularized jacobi geometric parameter correction and coupling error evaluation
System identification of the nonlinear residual errors of an industrial robot using massive measurements
A new graph-based semi-supervised method for surface defect classification
A generalized generation and evaluation method for cutting process parameter knowledge based on CTGAN
Virtual data generation for human intention prediction based on digital modeling of human-robot collaboration
Towards intelligent cooperative robotics in additive manufacturing: Past, present, and future
Design and implementation of agent-based robotic system for agile manufacturing: A case study of ARIAC 2021
Real-time response to machine failures in self-organizing production execution using multi-agent reinforcement learning with effective samples
Semantic models and knowledge graphs as manufacturing system reconfiguration enablers
Cloud-based approach for automatic CNC workpiece origin localization based on image analysis
Extending the motion planning framework - MoveIt with advanced manipulation functions for industrial applications
Ergonomic workplace design based on real-time integration between virtual and augmented realities
A constraint-based programming approach for robotic assembly skills implementation
Continuous stiffness optimization of mobile robot in automated fiber placement
The cascaded flowshop joint scheduling problem: A mathematical model and population-based iterated greedy algorithm to minimize total tardiness
Accurate positioning of a drilling and riveting cell for aircraft assembly
Reality-guided virtual assembly for contact-prohibited stepped shaft-in-hole task
Network-based dynamic dispatching rule generation mechanism for real-time production scheduling problems with dynamic job arrivals
Learning and planning for optimal synergistic human-robot coordination in manufacturing contexts
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing
Digital twin-enabled robotics for smart tag deployment and sensing in confined space
Cloud-edge collaboration composition and scheduling for flexible manufacturing service with a multi-population co-evolutionary algorithm
Learning-based adaption of robotic friction models
Digital twin-based architecture for wire arc additive manufacturing using OPC UA
Service-oriented industrial internet of things gateway for cloud manufacturing
Automated generation and execution of disassembly actions
Robust design of independent joint control of industrial robots with secondary encoders
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing
Smooth, rigid, and dexterous robotic machining path planning based on on-site scanned point clouds
Modeling flexible configuration of cell finishing for future battery production research
Assembly complexity and physiological response in human-robot collaboration: Insights from a preliminary experimental analysis
A Data-drivenParameter Planning Method for Structural Parts NC Machining
A two-stage dynamic model updating method for the FRF prediction of the robotized mobile machining equipment
Tool breakage monitoring driven by the real-time predicted spindle cutting torque using spindle servo signals
Reinforcement learning based on movement primitives for contact tasks
Predicting part deformation based on deformation force data using Physics-informed Latent Variable Model
Minimum distance calculation using laser scanner and IMUs for safe human-robot interaction
Physics-based simulation framework for Digital Twin applications: Machine parameter tuning for handling of lumber in the wood industry
Augmented reality based approach for on-line quality assessment of polished surfaces
Stable grasp generation enabled by part segmentation for real-world robotic applications
Robotic pre-drilled Z-pinning approach for enhancing the performance of composite fan blades in aircraft engines
Kinematic calibration of a 5-DOF hybrid kinematic machine tool by considering the ill-posed identification problem using regularisation method
Optimum design of a large area, flexure based XYθ mask alignment stage for a 12-inch wafer using grey relation analysis
Robotic disassembly sequence dynamic planning under uncertain irremovable condition using dueling deep Q-network based on digital twin
Integrated profile and thickness error compensation for curved part based on on-machine measurement
Knowledge graph based OPC UA information model automatic construction method for heterogeneous devices integration
Dynamic risk assessment and active response strategy of human-robot collaboration based on fuzzy comprehensive evaluation
Real-time freeform surface and path tracking for force controlled robotic tooling applications
Robot assistance primitives with force-field guidance for shared task collaboration
Improved deep Lagragian network-enabled momentum observer for collision detection during human-robot collaboration
Procrustes analysis for the virtual trial assembly of large-size elements
A modular path planning solution for Wire + Arc Additive Manufacturing
Evaluating a self-manageable architecture for industrial automation systems
Kinematic calibration for collaborative robots on a mobile platform using motion capture system
Investigation of humping phenomenon for the multi-directional robotic wire and arc additive manufacturing
Optimal design of a parallel assembling robot with large payload-to-mass ratio
3D Printing in the Context of Cloud Manufacturing
Human localization in robotized warehouses based on stereo odometry and ground-marker fusion
A novel health prognosis method for system based on improved degenerated Hidden Markov model
Region-based path planning method with all horizontal welding position for robotic curved layer wire and arc additive manufacturing
Robotic path compensation training method for optimizing face milling operations based on non-contact CMM techniques
Machining cycle time prediction: Data-driven modelling of machine tool feedrate behavior with neural networks
Intelligent robot gripper using embedded AI sensor for box re-sequencing system integrated with spatial layout optimization
A highly powerful calibration method for robotic smoothing system calibration via using adaptive residual extended Kalman filter
An automatic riveting method for robots based on the improved EDCircles algorithm
Long short term robot safe control framework based on hidden action space heuristic soft actor-critic
A Physical-simulation synergy approach for high-uniformity robotic gluing
A Mobile Robotic Measurement System for Large-scale Complex Components Based on Optical Scanning and Visual Tracking
DT-II: Digital twin enhanced Industrial Internet reference framework towards smart manufacturing
Similar assembly state discriminator for reinforcement learning-based robotic connector assembly
AEGLR-Net: Attention enhanced global-local refined network for accurate detection of car body surface defects
Path planning of cooperating industrial robots using evolutionary algorithms
Inverse kinematics and planning/control co-design method of redundant manipulator for precision operation: Design and experiments
Multi-objective adaptive trajectory optimization for industrial robot based on acceleration continuity constraint
Region-based toolpath generation for robotic milling of freeform surfaces with stiffness optimization
An efficient calibration method for serial industrial robots based on kinematics decomposition and equivalent systems
Eco-programming of industrial robots for sustainable manufacturing via dynamic time scaling of trajectories