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Experimental Design

Papers

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Showing 551–600 of 688 papers

TitleStatusHype
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks—0
Receding Horizon CuriosityCode0
On The Difficulty of Warm-Starting Neural Network Training—0
DECoVaC: Design of Experiments with Controlled Variability Components—0
BINOCULARS for Efficient, Nonmyopic Sequential Experimental DesignCode1
Lexical Quantile-Based Text Complexity Measure—0
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple PersonasCode0
Online Causal Inference for Advertising in Real-Time Bidding Auctions—0
Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile—0
Attention is not not ExplanationCode3
Accelerating Experimental Design by Incorporating Experimenter Hunches—0
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples—0
A multifactorial evaluation framework for gene regulatory network reconstruction—0
Gift Contagion in Online Groups: Evidence From Virtual Red Packets—0
Sequential Experimental Design for Transductive Linear BanditsCode0
Principled Frameworks for Evaluating Ethics in NLP Systems—0
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training—0
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
Bayesian experimental design using regularized determinantal point processesCode0
Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks—0
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluationsCode0
Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and ApplicationsCode0
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design—0
Data-Driven Design for Fourier Ptychographic Microscopy—0
Assessment of Faster R-CNN in Man-Machine collaborative search—0
Parallel Experimentation and Competitive Interference on Online Advertising PlatformsCode0
A Comparative Study for Unsupervised Network Representation Learning—0
Variational Bayesian Optimal Experimental DesignCode0
Fast Parallel Algorithms for Statistical Subset Selection ProblemsCode0
Size of Interventional Markov Equivalence Classes in Random DAG Models—0
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses—0
Global Fitting of the Response Surface via Estimating Multiple Contours of a Simulator—0
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression—0
Accelerated Experimental Design for Pairwise ComparisonsCode0
A Bandit Approach to Sequential Experimental Design with False Discovery Control—0
Accurate, Data-Efficient Learning from Noisy, Choice-Based Labels for Inherent Risk Scoring—0
Experimental Design for Cost-Aware Learning of Causal Graphs—0
Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty—0
Efficient Bayesian Experimental Design for Implicit ModelsCode0
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAECode0
MUFold-BetaTurn: A Deep Dense Inception Network for Protein Beta-Turn Prediction—0
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging—0
Optimal design of experiments to identify latent behavioral typesCode0
Improving Protein Gamma-Turn Prediction Using Inception Capsule Networks—0
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty—0
Optimal Testing in the Experiment-rich RegimeCode0
The Reconstruction Approach: From Interpolation to Regression—0
Multi-locus data distinguishes between population growth and multiple merger coalescentsCode0
Simulation Methods for Stochastic Storage Problems: A Statistical Learning Perspective—0
RankME: Reliable Human Ratings for Natural Language GenerationCode0
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