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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
通信压缩 分布式 随机优化 下界 加速算法
2023/11/29
Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale distributed stochastic ...
Putting clear bounds on uncertainty（图）
不确定性 界限 计算机科学 模糊图像
2023/6/20
In science and technology, there has been a long and steady drive toward improving the accuracy of measurements of all kinds, along with parallel efforts to enhance the resolution of images. An accomp...
Agriculture and Environmental Kuznets Curves in the case of Turkey:evidence from the ARDL and bounds test
EKC growth CO2 emission ECM
2017/2/21
The paper empirically analyses the long run relationship between agricultural performance and the carbon dioxide emission in Turkey by using the annual data covering 1968–2010. The Bounds test approac...
Bounds for the Sum of Dependent Risks and Worst Value-at-Risk with Monotone Marginal Densities
Complete mixability Monotone density Sum of dependent risks Value-at- Risk
2016/1/25
In quantitative risk management, it is important and challenging to find sharp bounds for the distribution of the sum of dependent risks with given marginal distributions, but an unspecified dependenc...
Multiple Target Counting and Tracking using Binary Proximity Sensors: Bounds, Coloring, and Filter
Multiple Target Counting Tracking using Binary Proximity Sensors Bounds Coloring Filter
2016/1/22
Binary proximity sensors (BPS) provide extremely low cost and privacy preserving features for tracking mobile targets in smart environment, but great challenges are posed for track-ing multiple target...
Tight security bounds for Multiple Encryption
Tight security bounds for Multiple Encryption
2016/1/22
Multiple encryption—the practice of composing a blockcipher several times with itself under independent keys—has received considerable attention of late from the standpoint of provable security.Despit...
Bounds for the Sum of Dependent Risks and Worst Value-at-Risk with Monotone Marginal Densities
Complete mixability Monotone density Sum of dependent risks Value-at- Risk
2016/1/20
In quantitative risk management, it is important and challenging to find sharp bounds for the distribution of the sum of dependent risks with given marginal distributions, but an unspecified dependenc...
On l2 Error Bounds of the Elastic Net when p>>n
Lasso naive Elastic Net Elastic Net model selection consistency estimation consistency
2016/1/20
We study the estimation property of the Elastic Net in high-dimensional settings where the number of parameters p is comparable to or larger than the sample size n. In such a situation one often assum...
Robust stability of a linear multivariable system, in the sense of robustness under multiplicative transfer function perturbation, is necessarily preserved under sufficiently small perturbations in th...
Bounds on maximum throughput for digital communications with finite-precision and amplitude constraints
Digital communications data rate linear impulse response
2015/8/12
The problem of finding the maximum achievable data rate over a linear time-invariant channel is considered under constraints different from those typically assumed. The limiting factor is taken to be ...
Bounds on Capacity and Minimum Energy-Per-Bit for AWGN Relay Channels
Additive white Gaussian noise (AWGN) channels channel capacity minimum energy-per-bit relay channel
2015/8/12
Upper and lower bounds on the capacity and minimum energy-per-bit for general additive white Gaussian noise (AWGN) and frequency-division AWGN (FD-AWGN) relay channel models are established. First, th...
Likelihood bounds for constrained estimation with uncertainty
Estimate the linear model model uncertainty likelihood estimation the second-order cone programming
2015/8/10
This paper addresses the problem of finding bounds on the optimal maximum a posteriori (or maximum likelihood) estimate in a linear model under the presence of model uncertainty. We introduce the nove...
Parameterized Expectations Algorithm and the Moving Bounds
Nonlinear models Numerical solutions methods Optimal growth Parameterized expectations algorithm
2015/7/21
The Parameterized Expectations Algorithm (PEA) is a powerful tool for solving nonlinear stochastic dynamic models. However, it has an important shortcoming:it is not a contraction mapping technique an...
Computing Bounds for the Structured Singular Value via an Interior Point Algorithm
Computing Bounds Structured Singular Value Interior Point Algorithm
2015/7/13
We describe an interior point algorithm for computing the upper bound for the structured singular value described in the paper by Fan, Tits and Doyle, IEEE Trans AC, Jan. 1991. We demonstrate the perf...
Likelihood Bounds for Constrained Estimation with Uncertainty
Likelihood Bounds Constrained Estimation Uncertainty
2015/7/10
This paper addresses the problem of finding bounds on the optimal maximum a posteriori (or maximum likelihood) estimate in a linear model under the presence of model uncertainty. We introduce the nove...