Martin T. Wells

Identifiers

• name variant Martin T. Wells 0.60 · backfill

Papers (25)

1. Modeling Dynamic Correlation Matrices with Shrinkage Priors stat.ME · 2026 · author #3
2. Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization stat.ML · 2026 · author #4
3. A Milestone-Based Framework for Characterizing Time-Varying Treatment Effects in Immunotherapy Trials stat.ME · 2026 · author #4
4. Is There an AI Bubble? Robust Date-Stamping for Periods of Exuberance stat.ME · 2026 · author #2
5. Minimaxity and Admissibility of Bayesian Neural Networks math.ST · 2026 · author #2
6. Online Distributionally Robust LLM Alignment via Regression to Relative Reward cs.LG · 2025 · author #2
7. Foreclassing: A new machine learning perspective on human decision making with temporal data stat.ML · 2025 · author #2
8. Fairness criteria through the lens of directed acyclic graphical models cs.CY · 2019 · author #3
9. Tuning Free Rank-Sparse Bayesian Matrix and Tensor Completion with Global-Local Priors stat.ME · 2019 · author #2
10. Ludometrics: Luck, and How to Measure It stat.AP · 2018 · author #2
11. Rank-based approach for estimating correlations in mixed ordinal data stat.ME · 2018 · author #3
12. A Double Parametric Bootstrap Test for Topic Models stat.ML · 2017 · author #4
13. The middle-scale asymptotics of Wishart matrices math.PR · 2017 · author #2
14. On the Domain of Attraction of a Tracy-Widom Law with Applications to Testing Multiple Largest Roots math.ST · 2015 · author #3
15. A Scalable Empirical Bayes Approach to Variable Selection stat.ME · 2015 · author #3
16. Improved Second Order Estimation in the Singular Multivariate Normal Model math.ST · 2015 · author #2
17. Noise Estimation in the Spiked Covariance Model math.ST · 2014 · author #2
18. AIC, Cp and estimators of loss for elliptically symmetric distributions math.ST · 2013 · author #5
19. Improved multivariate normal mean estimation with unknown covariance when p is greater than n math.ST · 2013 · author #2
20. Supervised Classification Using Sparse Fisher's LDA stat.ML · 2013 · author #3
21. On Improved Loss Estimation for Shrinkage Estimators stat.ME · 2012 · author #2
22. Laplace Approximated EM Microarray Analysis: An Empirical Bayes Approach for Comparative Microarray Experiments stat.ME · 2011 · author #4
23. MM Algorithms for Minimizing Nonsmoothly Penalized Objective Functions stat.CO · 2010 · author #3
24. A Conversation with Shayle R. Searle stat.ME · 2010 · author #1
25. A Multivariate Variance Components Model for Analysis of Covariance in Designed Experiments stat.ME · 2010 · author #3

Mentions

• 1001.4776 #3 · backfill · confidence 0.70 Martin T. Wells
• 1001.3272 #1 · backfill · confidence 0.70 Martin T. Wells
• 1001.3011 #3 · backfill · confidence 0.70 Martin T. Wells

Frequent Coauthors

• Didier Ch\'etelat 5 shared papers
• James G. Booth 4 shared papers
• Daniel Andrew Coulson 3 shared papers
• Daniel E. Gilbert 3 shared papers
• Abir Sarkar 2 shared papers
• Sharan Sahu 2 shared papers
• Aur\'elie Boisbunon (CSIS) 1 shared papers
• Benjamin R. Baer 1 shared papers
• Cameron J. Hogan 1 shared papers
• David S. Matteson 1 shared papers
• Dominique Fourdrinier 1 shared papers
• Dominique Fourdrinier (LITIS) 1 shared papers
• Elizabeth D. Schifano 1 shared papers
• Elizabeth Schifano 1 shared papers
• Giles Hooker 1 shared papers
• Haim Bar 1 shared papers
• Haim Y. Bar 1 shared papers
• Irina Gaynanova 1 shared papers
• James Booth 1 shared papers
• Jedd D. Wolchok 1 shared papers