:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yiou, Kang, Lulu, Hickernell, Fred J.
Format:	Preprint
Published:	2020
Subjects:	Computation
Online Access:	https://arxiv.org/abs/2004.09887
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Kernel Discrepancy-Based Rerandomization for Controlled Experiments
by: Li, Yiou, et al.
Published: (2019)

Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
by: de Nobel, Jacob, et al.
Published: (2024)

A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
by: Chen, Yindong, et al.
Published: (2021)

Transforming the Challenge of Constructing Low-Discrepancy Point Sets into a Permutation Selection Problem
by: Clément, François, et al.
Published: (2024)

A Bayesian Approach to Low-Discrepancy Subset Selection
by: Kirk, Nathan
Published: (2026)

Neural Low-Discrepancy Sequences
by: Van Huffel, Michael Etienne, et al.
Published: (2025)

A Maximin $Φ_{p}$-Efficient Design for Multivariate GLM
by: Li, Yiou, et al.
Published: (2020)

Fast Multitask Gaussian Process Regression
by: Sorokin, Aleksei G., et al.
Published: (2026)

Robust and Sparse Generalized Linear Models for High-Dimensional Data via Maximum Mean Discrepancy
by: Kang, Xiaoning, et al.
Published: (2026)

Outperforming the Best 1D Low-Discrepancy Constructions with a Greedy Algorithm
by: Clément, François
Published: (2024)

Quasi-Monte Carlo Methods: What, Why, and How?
by: Hickernell, Fred J., et al.
Published: (2025)

Heuristic Approaches to Obtain Low-Discrepancy Point Sets via Subset Selection
by: Clément, François, et al.
Published: (2023)

Polynomial p-adic Low-Discrepancy Sequences
by: Weiß, Christian
Published: (2024)

Discrepancy Algorithms for the Binary Perceptron
by: Li, Shuangping, et al.
Published: (2024)

Covariate Balancing Based on Kernel Density Estimates for Controlled Experiments
by: Li, Yiou, et al.
Published: (2020)

Discrepancy-Aware Contrastive Adaptation in Medical Time Series Analysis
by: Wang, Yifan, et al.
Published: (2025)

Empirical Bernstein and betting confidence intervals for randomized quasi-Monte Carlo
by: Jain, Aadit, et al.
Published: (2025)

Finding Low Star Discrepancy 3D Kronecker Point Sets Using Algorithm Configuration Techniques
by: Abderrahim, Imène Ait, et al.
Published: (2026)

Screening the Discrepancy Function of a Computer Model
by: Barbillon, Pierre, et al.
Published: (2021)

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection
by: Zhang, Tianshuo, et al.
Published: (2026)

Lifting with Inner Functions of Polynomial Discrepancy
by: Manor, Yahel, et al.
Published: (2024)

Fast Bayesian Multilevel Quasi-Monte Carlo
by: Sorokin, Aleksei G., et al.
Published: (2025)

Bisection Width, Discrepancy, and Eigenvalues of Hypergraphs
by: Räty, Eero, et al.
Published: (2024)

Controlling Moments with Kernel Stein Discrepancies
by: Kanagawa, Heishiro, et al.
Published: (2022)

A unified treatment of tractability for approximation problems defined on Hilbert spaces
by: Emenike, Onyekachi, et al.
Published: (2023)

Tight Lower Bound for Multicolor Discrepancy
by: Manurangsi, Pasin, et al.
Published: (2025)

Low-Discrepancy Set Post-Processing via Gradient Descent
by: Clément, François, et al.
Published: (2025)

Low Discrepancy Digital Kronecker-Van der Corput Sequences
by: Robertson, Steven
Published: (2024)

Low Stein Discrepancy via Message-Passing Monte Carlo
by: Kirk, Nathan, et al.
Published: (2025)

The Polynomial Stein Discrepancy for Assessing Moment Convergence
by: Srinivasan, Narayan, et al.
Published: (2024)

Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
by: Yang, Fuming, et al.
Published: (2025)

Diagonal Frobenius Number via Gomory's Relaxation and Discrepancy
by: Gribanov, Dmitry, et al.
Published: (2025)

Discrepancy And Fair Division For Non-Additive Valuations
by: la Tour, Max Dupre, et al.
Published: (2025)

Optimizing Kernel Discrepancies via Subset Selection
by: Chen, Deyao, et al.
Published: (2025)

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
by: Li, Yuheng, et al.
Published: (2024)

Word Sense Detection Leveraging Maximum Mean Discrepancy
by: Mitsuzawa, Kensuke
Published: (2025)

Left-right Discrepancy for Adversarial Attack on Stereo Networks
by: Wang, Pengfei, et al.
Published: (2024)

Resolving Discrepancies in Compute-Optimal Scaling of Language Models
by: Porian, Tomer, et al.
Published: (2024)

To Be or Not to Be (in the EU): Measurement of Discrepancies Presented in Cookie Paywalls (LONG)
by: Stenwreth, Andreas, et al.
Published: (2024)

GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection
by: Zhang, Shuguang, et al.
Published: (2026)