Efficacy and Safety of Atezolizumab Plus Bevacizumab in Patients With Advanced NSCLC Who Received Pretreatment With EGFR-TKIs (ML41256): A Multicenter, Prospective, Single-Arm, Phase 2 Trial. [PDF]
Cancer MedABSTRACT Background Few treatment options are available for patients with epidermal growth factor receptor (EGFR) mutation‐positive metastatic non‐squamous non‐small cell lung cancer (NSCLC) who failed treatment with EGFR‐tyrosine kinase inhibitors (EGFR‐TKIs).
Fang W +9 more
europepmc +2 more sources
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence [PDF]
AAAI Conference on Artificial Intelligence, 2022 The use of machine learning models in consequential decision making often exacerbates societal inequity, in particular yielding disparate impact on members of marginalized groups defined by race and gender.
Zhenhuan Yang +3 more
semanticscholar +1 more source
Sustainability, 2022 Extracting weak fault features from noisy measured signals is critical for the diagnosis of wind turbine faults. In this paper, a novel group-sparse feature extraction method via an ensemble generalized minimax-concave (GMC) penalty is proposed for ...
Wangpeng He +4 more
semanticscholar +1 more source
Groups with soluble minimax conjugate classes of subgroups [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2008 A classical result of Neumann characterizes the groups in which each subgroup has finitely many conjugates only as central-by-finite groups. If X is a class of groups, a group G is said to have X-conjugate classes of subgroups if G/coreG(NG(H)) 2 X for ...
Francesco Russo
doaj +1 more source
On the structure of groups admitting faithful modules with certain conditions of primitivity
Researches in Mathematics, 2023 In the paper we study structure of soluble-by-finite groups of finite torsion-free rank which admit faithful modules with conditions of primitivity. In particular, we prove that under some additional conditions if an infinite finitely generated linear ...
A.V. Tushev
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Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification [PDF]
Trans. Mach. Learn. Res., 2022 While a broad range of techniques have been proposed to tackle distribution shift, the simple baseline of training on an $\textit{undersampled}$ balanced dataset often achieves close to state-of-the-art-accuracy across several popular benchmarks. This is
Niladri S. Chatterji +2 more
semanticscholar +1 more source
On the structure of some minimax-antifinitary modules
Karpatsʹkì Matematičnì Publìkacìï, 2015 Let $R$ be a ring and $G$ a group. An $R$-module $A$ is said to be {\it minimax} if $A$ includes a noetherian submodule $B$ such that $A/B$ is artinian.
V.A. Chupordia
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Existence and multiplicity results for quasilinear equations in the Heisenberg group [PDF]
Opuscula Mathematica, 2019 In this paper we complete the study started in [Existence of entire solutions for quasilinear equations in the Heisenberg group, Minimax Theory Appl. 4 (2019)] on entire solutions for a quasilinear equation \((\mathcal{E}_{\lambda})\) in \(\mathbb{H}^{n}
Patrizia Pucci
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Lower bounds for invariant statistical models with applications to principal component analysis
, 2021 This paper develops nonasymptotic information inequalities for the estimation of the eigenspaces of a covariance operator. These results generalize previous lower bounds for the spiked covariance model, and they show that recent upper bounds for models ...
Wahl, Martin
core +1 more source
A minimax framework for quantifying risk-fairness trade-off in regression [PDF]
Annals of Statistics, 2020 We propose a theoretical framework for the problem of learning a real-valued function which meets fairness requirements. This framework is built upon the notion of $\alpha$-relative (fairness) improvement of the regression function which we introduce ...
Evgenii Chzhen, Nicolas Schreuder
semanticscholar +1 more source