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Martin T. Wells

Identifiers

  • name variant Martin T. Wells 0.60 · backfill

Papers (28)

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

Mentions

  • 1510.03781 #3 · backfill · confidence 0.70 Martin T. Wells
  • 1509.02451 #2 · backfill · confidence 0.70 Martin T. Wells
  • 1408.6440 #2 · backfill · confidence 0.70 Martin T. Wells
  • 1308.2766 #5 · backfill · confidence 0.70 Martin T. Wells
  • 2605.26653 #3 · arxiv_oai · confidence 0.70 Martin T. Wells
  • 1302.6746 #2 · backfill · confidence 0.70 Martin T. Wells
  • 2512.06823 #2 · arxiv_oai · confidence 0.70 Martin T. Wells
  • 1301.4976 #3 · backfill · confidence 0.70 Martin T. Wells
  • 1203.4989 #2 · backfill · confidence 0.70 Martin T. Wells
  • 2601.12238 #3 · arxiv_oai · confidence 0.70 Martin T. Wells
  • 1101.0905 #4 · backfill · confidence 0.70 Martin T. Wells
  • 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