Martin T. Wells

28 papers A 1B 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Democratic Preference Alignment via Sortition-Weighted RLHF. CoRR Suvadip Sana, Jinzhou Wu, Martin T. Wells
2026	J	`jnl`	On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization. CoRR Sharan Sahu, Cameron J. Hogan, Martin T. Wells
2025	J	`jnl`	Boltzmann convolutions and Welford mean-variance layers with an application to time series forecasting and classification. CoRR Daniel Andrew Coulson, Martin T. Wells
2025	J	`jnl`	DRO-REBEL: Distributionally Robust Relative-Reward Regression for Fast and Efficient LLM Alignment. CoRR Sharan Sahu, Martin T. Wells
2025	J	`jnl`	PROLONG: penalized regression for outcome guided longitudinal omics analysis with network and group constraints. Bioinform. Steven Broll, Sumanta Basu, Myung Hee Lee, Martin T. Wells
2025	J	`jnl`	Quantitative Relaxations of Arrow's Axioms. CoRR Suvadip Sana, Daniel Brous, Martin T. Wells, Moon Duchin
2025	J	`jnl`	Quantum Cognition Machine Learning for Forecasting Chromosomal Instability. CoRR 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
2025	J	`jnl`	Quantum Geometry of Data. CoRR 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
2024	J	`jnl`	Bellwether Trades: Characteristics of Trades influential in Predicting Future Price Movements in Markets. CoRR Tejas Ramdas, Martin T. Wells
2024	J	`jnl`	How Aligned are Generative Models to Humans in High-Stakes Decision-Making? CoRR Sarah Tan, Keri Mallari, Julius Adebayo, Albert Gordo, Martin T. Wells, Kori Inkpen
2024	J	`jnl`	Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning. CoRR 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
2023	J	`jnl`	On graphical models and convex geometry. Comput. Stat. Data Anal. Haim Bar, Martin T. Wells
2022	J	`jnl`	Interpretable Latent Variables in Deep State Space Models. CoRR Haoxuan Wu, David S. Matteson, Martin T. Wells
2021	J	`jnl`	A News-based Machine Learning Model for Adaptive Asset Pricing. CoRR Liao Zhu, Haoxuan Wu, Martin T. Wells
2021	J	`jnl`	Clustering Structure of Microstructure Measures. CoRR Liao Zhu, Ningning Sun, Martin T. Wells
2021	A	`conf`	HALO: Learning to Prune Neural Networks with Shrinkage. SDM Skyler Seto, Martin T. Wells, Wenyu Zhang
2020	J	`jnl`	Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training. CoRR Skyler Seto, Martin T. Wells, Wenyu Zhang
2020	J	`jnl`	Robust Matrix Completion with Mixed Data Types. CoRR Daqian Sun, Martin T. Wells
2020	—	`conf`	Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable. FODS Sarah Tan, Matvey Soloviev, Giles Hooker, Martin T. Wells
2019	J	`jnl`	Fairness criteria through the lens of directed acyclic graphical models. CoRR Benjamin R. Baer, Daniel E. Gilbert, Martin T. Wells
2018	J	`jnl`	On the domain of attraction of a Tracy-Widom law with applications to testing multiple largest roots. J. Multivar. Anal. Didier Chételat, Rajendran Narayanan, Martin T. Wells
2016	J	`jnl`	Estimation of the inverse scatter matrix of an elliptically symmetric distribution. J. Multivar. Anal. Dominique Fourdrinier, Fatiha Mezoued, Martin T. Wells
2016	J	`jnl`	Improved second order estimation in the singular multivariate normal model. J. Multivar. Anal. Didier Chételat, Martin T. Wells
2016	J	`jnl`	Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable. CoRR Hui Fen Tan, Giles Hooker, Martin T. Wells
2009	J	`jnl`	The Exact Distribution of the Condition Number of a Gaussian Matrix. SIAM J. Matrix Anal. Appl. William Anderson, Martin T. Wells
2008	J	`jnl`	Variable selection for large BMC Bioinform. Min Zhang, Dabao Zhang, Martin T. Wells
2005	J	`jnl`	Bayesian Normalization and Identification for Differential Gene Expression Data. J. Comput. Biol. Dabao Zhang, Martin T. Wells, Christine D. Smart, William E. Fry
1993	B	`conf`	Bayesian Analysis for Fault Location in Homogeneous Distributed Systems. SRDS Yu Lo Cyrus Chang, Leslie C. Lander, Horng-Shing Lu, Martin T. Wells