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| A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO | May 21, 2025 | parameter estimation | —Unverified | 0 | 0 |
| A MAP approach for _q-norm regularized sparse parameter estimation using the EM algorithm | Aug 5, 2015 | parameter estimation | —Unverified | 0 | 0 |
| Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance | May 29, 2024 | parameter estimationregression | —Unverified | 0 | 0 |
| A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting | May 31, 2016 | Bayesian Inferenceparameter estimation | —Unverified | 0 | 0 |
| A Unified Approach to Differentially Private Bayes Point Estimation | Nov 18, 2022 | parameter estimation | —Unverified | 0 | 0 |
| A Likelihood Ratio Approach for Probabilistic Inequalities | Aug 18, 2013 | parameter estimation | —Unverified | 0 | 0 |
| Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems | Jan 25, 2022 | parameter estimationThompson Sampling | —Unverified | 0 | 0 |
| A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals | Oct 14, 2024 | Dimensionality ReductionFederated Learning | —Unverified | 0 | 0 |
| Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo | Aug 3, 2020 | parameter estimation | —Unverified | 0 | 0 |
