| Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance | Feb 8, 2019 | regression | —Unverified | 0 |
| Beyond linear regression: mapping models in cognitive neuroscience should align with research goals | Aug 23, 2022 | regression | —Unverified | 0 |
| Beyond Log-Concavity: Theory and Algorithm for Sum-Log-Concave Optimization | Sep 26, 2023 | regression | —Unverified | 0 |
| A Distributionally Robust Approach to Fair Classification | Jul 18, 2020 | ClassificationFairness | —Unverified | 0 |
| A Dirty Model for Multi-task Learning | Dec 1, 2010 | modelMulti-Task Learning | —Unverified | 0 |
| Beyond Ridge Regression for Distribution-Free Data | Jun 17, 2022 | regression | —Unverified | 0 |
| An Efficient Pseudo-likelihood Method for Sparse Binary Pairwise Markov Network Estimation | Feb 27, 2017 | regression | —Unverified | 0 |
| A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data | Feb 6, 2023 | regression | —Unverified | 0 |
| Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks | Oct 3, 2024 | Diversityregression | —Unverified | 0 |
| RSRM: Reinforcement Symbolic Regression Machine | May 24, 2023 | MathQ-Learning | —Unverified | 0 |
