Results 91 to 100 of about 9,520,612 (176)

Stochastic Optimization and Worst-Case Analysis in Monetary Policy Design [PDF]

In this paper we compare expected loss minimization to worst-case or minimax analysis in the design of simple Taylor-style rules for monetary policy using a small model estimated for the euro area by Orphanides and Wieland (2000).
Berc Rustem, Stan Zakovic, Volker Wieland   +2 more
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The class of minimax groups is countably recognizable

, 2018
A class X of groups is said to be countably recognizable if a group belongs to X whenever all its countable subgroups lie in X.
de Giovanni, Francesco, Trombetti, Marco
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Optimal futility stopping boundaries for binary endpoints

BMC Medical Research Methodology
Background Group sequential designs incorporating the option to stop for futility at the time point of an interim analysis can save time and resources.
Michaela Maria Freitag, Xieran Li, Geraldine Rauch   +2 more
doaj   +1 more source

Minimax Rules Under Zero-One Loss for a Restricted Location Parameter

, 1997
Minimax Rules Under Zero-One Loss In this paper we study the existence, structure and computation of minimax and near-minimax rules under zero-one loss for a restricted location parameter of an absolutely continuous distribution.
Gerda Kamberova, Max Mintz, Minimax Rules, Gerda Kamberova And, Under Zero-one Loss   +4 more
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MiniMax-01: Scaling Foundation Models with Lightning Attention [PDF]

We introduce MiniMax-01 series, including MiniMax-Text-01 and MiniMax-VL-01, which are comparable to top-tier models while offering superior capabilities in processing longer contexts. The core lies in lightning attention and its efficient scaling.
Tao, Zewei, Shen, Xuyang, Chi, Mingyuan, Zhao, Pengyu, Zheng, Lin, Chen, Da, Xie, Junbin, Han, Jingtao, Xu, Junhao, Xu, Qidi, Li, Aonian, Zhuang, Jiaqi, Zhou, Yipeng, Zhang, Kaishun, Sun, Weigao, Shan, Boji, Leng, Ruitao, Zhong, Yiran, Yu, Lianfei, Zou, Xun, Hou, Xinzhu, Xu, Yunzhi, Liu, Chang, Kang, Kexi, Zhu, Jin, Li, Qiuhui, Zhang, Chunhao, Mao, Yuxin, Huang, Yunan, Song, Jiayuan, Li, Sichen, Sun, Weixuan, Ju, Meizhi, Yu, Shuqi, Dong, Houze, Zhang, Xinjie, Shi, Shengmin, Li, Dong, Xing, Long, Yang, Yufeng, Li, Wenkai, Li, Yunji, Fan, Yuanxiang, Yang, Bo, Jiang, Zhuo, Liang, Tianrun, Li, Jingyang, Li, Pengfei, Wang, Qin, Zhang, Guojun, Yu, Zhihang, Guo, Congchao, Cheng, Weiyu, Li, Zehan, Li, Zekang, MiniMax, Su, Xiao, Li, Gengxin, Ying, Zewen, Fan, Zhenhua, Xiao, Kecheng, Huang, Tao, Min, Xu, Wang, Qiexiang, Zhu, Yingjie, Niu, Pengcheng, Qin, Zhen, Yu, Yue, Feng, Liheng, Cong, Zhaoyang, Gong, Bangwei, Yan, Junjie, Li, Yuhao, Wu, Zijia, Wang, Leyang, Zhu, Cheng, Huang, Peikai, Jiao, Enwei, Han, Le, Han, Xiaodong, Zhang, Mozhi, Yang, Qi, Zhu, Songquan, Gong, Yan, Hu, Yongyi, Chai, Linbo, Sun, Haohai, Song, Xiangjun, Zhu, Jiadai, Huang, Yunpeng   +89 more
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Multiple solutions to asymmetric semilinear elliptic problems via Morse theory

Electronic Journal of Differential Equations, 2014
In this article we study the existence of solutions to the problem $$\displylines{ -\Delta u = g(x,u) \quad \text{in } \Omega; \cr u = 0 \quad\text{on } \partial\Omega, }$$ where $\Omega$ is a smooth bounded domain in $\mathbb{R}^N$ $(N\geq 2)$
Leandro L. Recova, Adolfo J. Rumbos
doaj  

The Minimax Estimation Method for a Class of Inverse Helmholtz Transmission Problems

, 2019
We present complete mathematical statements and perform detailed investigations of the minimax estimation problems of unknown data for the Helmholtz transmission problems from indirect noisy observations of their solutions.
Nakonechnyi, Oleksandr,, Shestopalov, Yury,, Podlipenko, Yuri,   +2 more
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"Non-minimaxity of Linear Combinations of Restricted Location Estimators and Related Problems" [PDF]

The estimation of a linear combination of several restricted location parameters is addressed from a decision-theoretic point of view. The corresponding linear combination of the best location equivariant and the unrestricted unbiased estimators is ...
Tatsuya Kubokawa, William E. Strawderman
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Adaptive Calibration and Operational Transferability of Hybrid AI Optimization Models for Digital Commerce Platforms

Applied Sciences
Hybrid artificial intelligence optimization models combine learned behavioral signals with constrained decision-making, but their transition from prototype calibration to operational use is rarely evaluated across changing platform regimes.
Aizhan Kassymova, Raissa Uskenbayeva, Young Im Cho, Venera Elle, Aizhan Anartayeva, Aizhan Smakhanova   +5 more
doaj   +1 more source

When do Minimax-fair Learning and Empirical Risk Minimization Coincide? [PDF]

Minimax-fair machine learning minimizes the error for the worst-off group. However, empirical evidence suggests that when sophisticated models are trained with standard empirical risk minimization (ERM), they often have the same performance on the worst ...
Singh, Harvineet, Kleindessner, Matthäus, Russell, Chris, Cevher, Volkan, Chunara, Rumi   +4 more
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