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Experimental Design

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Showing 401–450 of 688 papers

TitleStatusHype
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits—0
Importance sampling based active learning for parametric seismic fragility curve estimation—0
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors—0
AdjointNet: Constraining machine learning models with physics-based codes—0
An Experimental-Design Perspective on Population Genetic Variation—0
Active Learning for Saddle Point Calculation—0
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management—0
A Reproduction Study of an Annotation-based Human Evaluation of MT Outputs—0
What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?Code1
Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning CourseCode1
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive ManufacturingCode0
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids—0
Edge Proposal Sets for Link PredictionCode1
Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized TrialsCode0
Learning from an Exploring Demonstrator: Optimal Reward Estimation for BanditsCode0
A Practical & Unified Notation for Information-Theoretic Quantities in ML—0
Retractions: Updating from Complex Information—0
A scalable multi-step least squares method for network identification with unknown disturbance topology—0
Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments—0
OpenBox: A Generalized Black-box Optimization ServiceCode1
Active Learning of Continuous-time Bayesian Networks through Interventions—0
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure LearningCode0
Improved Algorithms for Agnostic Pool-based Active Classification—0
High-Dimensional Experimental Design and Kernel Bandits—0
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection areaCode1
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower BoundsCode0
A Birds-eye (Re)View of Acid-suppression Drugs, COVID-19, and the Highly Variable Literature—0
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual InformationCode1
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning—0
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks—0
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC—0
Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures—0
In-Field Gyroscope Autocalibration with Iterative Attitude Estimation—0
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models—0
A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models—0
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning DevicesCode2
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental DesignCode1
Conditional Image Generation by Conditioning Variational Auto-EncodersCode1
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference—0
Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study—0
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach—0
Learning Models of Model Predictive Controllers using Gradient Data—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers—0
Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem—0
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments—0
Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning—0
From Tinkering to Engineering: Measurements in Tensorflow Playground—0
Maximizing Information Gain for the Characterization of Biomolecular Circuits—0
Learning Collision-free Latent Space for Bayesian Optimization—0
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