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Found 4 papers, 1 papers with code
Liver Fat Quantification Network with Body Shape
The proposed framework is composed of a flexible baseline regression network and a lightweight attention module.
skscope: Fast Sparsity-Constrained Optimization in Python
Applying iterative solvers on sparsity-constrained optimization (SCO) requires tedious mathematical deduction and careful programming/debugging that hinders these solvers' broad impact.
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
We study the problem of off-policy evaluation (OPE) for episodic Partially Observable Markov Decision Processes (POMDPs) with continuous states.
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
Data-driven individualized decision making has recently received increasing research interests.
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