Martin T. Wells

According to our database, Martin T. Wells authored at least 30 papers between 1993 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization.

Sharan Sahu, Abir Sarkar, Cameron J. Hogan, Martin T. Wells

CoRR, May, 2026

Minimaxity and Admissibility of Bayesian Neural Networks.

Daniel Andrew Coulson, Martin T. Wells

CoRR, April, 2026

Democratic Preference Alignment via Sortition-Weighted RLHF.

Suvadip Sana, Jinzhou Wu, Martin T. Wells

CoRR, February, 2026

On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization.

Sharan Sahu, Cameron J. Hogan, Martin T. Wells

CoRR, January, 2026

2025

DRO-REBEL: Distributionally Robust Relative-Reward Regression for Fast and Efficient LLM Alignment.

Sharan Sahu, Martin T. Wells

CoRR, September, 2025

Quantum Geometry of Data.

Alexander G. Abanov, Luca Candelori, Harold C. Steinacker, Martin T. Wells, Jerome R. Busemeyer, Cameron J. Hogan, Vahagn Kirakosyan, Nicola Marzari, Sunil Pinnamaneni, Dario Villani, Mengjia Xu, Kharen Musaelian

CoRR, July, 2025

Quantitative Relaxations of Arrow's Axioms.

Suvadip Sana, Daniel Brous, Martin T. Wells, Moon Duchin

CoRR, June, 2025

Quantum Cognition Machine Learning for Forecasting Chromosomal Instability.

Giuseppe Di Caro, Vahagn Kirakosyan, Alexander G. Abanov, Luca Candelori, Nadine Hartmann, Ernest T. Lam, Kharen Musaelian, Ryan Samson, Dario Villani, Martin T. Wells, Richard J. Wenstrup, Mengjia Xu

CoRR, June, 2025

Boltzmann convolutions and Welford mean-variance layers with an application to time series forecasting and classification.

Daniel Andrew Coulson, Martin T. Wells

CoRR, March, 2025

PROLONG: penalized regression for outcome guided longitudinal omics analysis with network and group constraints.

Steven Broll, Sumanta Basu, Myung Hee Lee, Martin T. Wells

Bioinform., 2025

2024

How Aligned are Generative Models to Humans in High-Stakes Decision-Making?

Sarah Tan, Keri Mallari, Julius Adebayo, Albert Gordo, Martin T. Wells, Kori Inkpen

CoRR, 2024

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning.

Luca Candelori, Alexander G. Abanov, Jeffrey Berger, Cameron J. Hogan, Vahagn Kirakosyan, Kharen Musaelian, Ryan Samson, James E. T. Smith, Dario Villani, Martin T. Wells, Mengjia Xu

CoRR, 2024

Bellwether Trades: Characteristics of Trades influential in Predicting Future Price Movements in Markets.

Tejas Ramdas, Martin T. Wells

CoRR, 2024

2023

On graphical models and convex geometry.

Haim Bar, Martin T. Wells

Comput. Stat. Data Anal., November, 2023

2022

Interpretable Latent Variables in Deep State Space Models.

Haoxuan Wu, David S. Matteson, Martin T. Wells

CoRR, 2022

2021

Clustering Structure of Microstructure Measures.

Liao Zhu, Ningning Sun, Martin T. Wells

CoRR, 2021

A News-based Machine Learning Model for Adaptive Asset Pricing.

Liao Zhu, Haoxuan Wu, Martin T. Wells

CoRR, 2021

HALO: Learning to Prune Neural Networks with Shrinkage.

Skyler Seto, Martin T. Wells, Wenyu Zhang

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020

Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training.

Skyler Seto, Martin T. Wells, Wenyu Zhang

CoRR, 2020

Robust Matrix Completion with Mixed Data Types.

Daqian Sun, Martin T. Wells

CoRR, 2020

Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable.

Sarah Tan, Matvey Soloviev, Giles Hooker, Martin T. Wells

Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020

2019

Fairness criteria through the lens of directed acyclic graphical models.

Benjamin R. Baer, Daniel E. Gilbert, Martin T. Wells

CoRR, 2019

2018

On the domain of attraction of a Tracy-Widom law with applications to testing multiple largest roots.

Didier Chételat, Rajendran Narayanan, Martin T. Wells

J. Multivar. Anal., 2018

2016

Estimation of the inverse scatter matrix of an elliptically symmetric distribution.

Dominique Fourdrinier, Fatiha Mezoued, Martin T. Wells

J. Multivar. Anal., 2016

Improved second order estimation in the singular multivariate normal model.

Didier Chételat, Martin T. Wells

J. Multivar. Anal., 2016

Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable.

Hui Fen Tan, Giles Hooker, Martin T. Wells

CoRR, 2016

2009

The Exact Distribution of the Condition Number of a Gaussian Matrix.

William Anderson, Martin T. Wells

SIAM J. Matrix Anal. Appl., 2009

2008

Variable selection for large <i>p </i>small <i>n </i>regression models with incomplete data: Mapping QTL with epistases.

Min Zhang, Dabao Zhang, Martin T. Wells

BMC Bioinform., 2008

2005

Bayesian Normalization and Identification for Differential Gene Expression Data.

Dabao Zhang, Martin T. Wells, Christine D. Smart, William E. Fry

J. Comput. Biol., 2005

1993

Bayesian Analysis for Fault Location in Homogeneous Distributed Systems.

Yu Lo Cyrus Chang, Leslie C. Lander, Horng-Shing Lu, Martin T. Wells

Proceedings of the 12th Symposium on Reliable Distributed Systems, 1993