Results 61 to 70 of about 6,417 (238)
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
This paper delves into the realm of stochastic optimization for compositional minimax optimization - a pivotal challenge across various machine learning domains, including deep AUC and reinforcement learning policy evaluation.
Pan, Xiaokang +5 more
core
Formal Verification of Multi-Thread Minimax Behavior Using mCRL2 in the Connect 4
This study focuses on the formal verification of a parallel version of the minimax algorithm using the mCRL2 modeling language, applied to the game of Connect 4.
Diego Escobar, Jesus Insuasti
doaj +1 more source
Existence of nonconstant periodic solutions for p(t) $p(t)$-Laplacian Hamiltonian system
The purpose of this paper is to consider the existence of periodic solutions for the p(t) $p(t)$-Laplacian Hamiltonian system. Some results are obtained by using the least action principle and the minimax methods.
Yuanfang Ru, Fanglei Wang
doaj +1 more source
Ellipsoid Method for Linear Regression Parameters Determination
Introduction. Linear regression parameters determination can be formulated as a non-smooth function minimization problem, which is Lp-norm of residual of the linear equations system.
V. Stovba
doaj +1 more source
Abstract Follicular lymphoma (FL) is the most common indolent lymphoma. Although chemoimmunotherapy is effective, toxicity remains problematic, and novel treatments are required. We performed a Phase Ib/II study of obinutuzumab, lenalidomide, and venetoclax in patients with treatment‐naïve, high tumor burden, advanced‐stage FL. During induction (6 × 28‐
Chan Y. Cheah +11 more
wiley +1 more source
Existence of Periodic Solutions for a Class of Difference Systems with p-Laplacian
By applying the least action principle and minimax methods in critical point theory, we prove the existence of periodic solutions for a class of difference systems with p-Laplacian and obtain some existence theorems.
Kai Chen, Qiongfen Zhang
doaj +1 more source
Professionals Do Not Play Minimax: Evidence from Major League Baseball and the National Football League [PDF]
Game theory makes strong predictions about how individuals should behave in two player, zero sum games. When players follow a mixed strategy, equilibrium payoffs should be equalized across actions, and choices should be serially uncorrelated.
Kenneth Kovash, Steven D. Levitt
core
Existence and multiplicity of solutions for a class of superlinear elliptic systems
In this paper, we establish the existence and multiplicity of solutions for a class of superlinear elliptic systems without Ambrosetti and Rabinowitz growth condition. Our results are based on minimax methods in critical point theory.
Li Chun, Agarwal Ravi P., Wu Dong-Lun
doaj +1 more source
ABSTRACT In this paper, we assess the performance of adaptive and nested factorized sparse approximate inverses as smoothers in multilevel V‐cycles, when smoothing is performed following the Chebyshev iteration of the fourth kind, for the efficient solution of linear systems arising from a conforming discretization of higher‐order partial differential ...
Pablo Jiménez Recio +1 more
wiley +1 more source
What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments [PDF]
The minimax argument represents game theory in its most elegant form: simple but with stark predictions. Although some of these predictions have been met with reasonable success in the field, experimental data have generally not provided results close to
Steven D. Levitt +2 more
core

