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∗ Statistics: Mathematical Statistics (STAT 210A), High Dimensional Statistics (STAT 210B), Statistical Learning Theory (STAT 241B / CS 281B), Mean Field Asymptotics in Statistical Learning (STAT 260) ∗ Computer Science / Electrical Engineering: Parallel Computing (CS 267), Graduate Algorithms (CS 270), Deep Reinforcement Learning (CS 285), Convex Optimization和近似（EE 227C）∗数学：测量理论与拓扑（数学202A），功能分析（数学202B），测量理论概率理论（MATH 218A / STAT 205A），差异拓扑（MATH 214）< / div>
Sharan Saahu
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