A Catalyst Framework for Minimax Optimization [PDF]
We introduce a generic two-loop scheme for smooth minimax optimization with strongly-convex-concave objectives. Our approach applies the accelerated proximal point framework (or Catalyst) to the associated dual problem and takes full advantage of ...
Yang, Junchi +3 more
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Decision-Theoretic Ecological Optimization of the Curzon-Ahlborn Heat Engine. [PDF]
Entropy (Basel)Huruntz KK +3 more
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Comparison of three large language models in postoperative rehabilitation question answering after anterior cruciate ligament reconstruction based on expert ratings. [PDF]
BMC Musculoskelet DisordXia T +7 more
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Information-Theoretic Limits and One-Bit Estimation of Sparse Relation Matrices Under Personalized Local Differential Privacy and Byzantine Contamination. [PDF]
Entropy (Basel)Ouyang J, Liu J.
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Two-Stage Double-Arm Trial Optimal Design of Restricted Mean Survival Time With Sculpted Critical Region. [PDF]
Stat MedHe J, Lin R, Chen Y, Lam KF.
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Distortion-Constrained Minimax Data Sanitization with Multiple Adversaries. [PDF]
Entropy (Basel)Moatazedian A +3 more
europepmc +1 more source
Minimaxing: Theory and Practice.
AI Mag., 1988 Empirical evidence suggests that searching deeper in game trees using the minimax propagation rule usually improves the quality of decisions significantly. However, despite many recent theoretical analyses of the effects of minimax look ahead, however, this phenomenon has still not been convincingly explained.
openaire +2 more sources
Challenges in medical algorithmic fairness. [PDF]
JNCI Cancer SpectrSrinivasan A +3 more
europepmc +1 more source
An Improved Bayesian Pick-the-Winner (IBPW) Design for Randomized Phase II Clinical Trials. [PDF]
Stat MedLei W, Peng M, Altorki N, Zhou XK.
europepmc +1 more source
Minimax entropy: The statistical physics of optimal models. [PDF]
Phys Rev ECarcamo DP +3 more
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