Martin Wainwright
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| title | conference | date |
|---|---|---|
| Beyond Worst-Case: Instance-Dependent Optimality in Reinforcement Learning | Reinforcement Learning from Batch Data and Simulation | 2020-11-30 |
Derives asymptotic and non‑asymptotic instance‑dependent lower bounds for tabular policy evaluation, identifying an optimal covariance matrix that determines… | ||
| High-Dimensional Statistics I | Big Data Boot Camp 2013 | 2013-09-03 |
High-dimensional settings need non-asymptotic guarantees: classification with D comparable to N shows a Kolmogorov-style alpha = N/D offset in error rates… | ||
| High-Dimensional Statistics II | Big Data Boot Camp 2013 | 2013-09-03 |
General recipe: M‑estimators with convex loss plus a decomposable regularizer yield concrete error rates once restricted strong convexity holds and the… | ||
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