Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Near optimal online algorithms and fast approximation algorithms for resource allocation problems
We present prior robust algorithms for a large class of resource allocation problems where
requests arrive one-by-one (online), drawn independently from an unknown distribution at …
requests arrive one-by-one (online), drawn independently from an unknown distribution at …
How the experts algorithm can help solve lps online
We consider the problem of solving packing/covering LPs online, when the columns of the
constraint matrix are presented in random order. This problem has received much attention …
constraint matrix are presented in random order. This problem has received much attention …
Designing smoothing functions for improved worst-case competitive ratio in online optimization
Online optimization covers problems such as online resource allocation, online bipartite
matching, adwords (a central problem in e-commerce and advertising), and adwords with …
matching, adwords (a central problem in e-commerce and advertising), and adwords with …
A stochastic algorithm for online bipartite resource allocation problems
This paper deals with online resource allocation problems whereby buyers with a limited
total budget want to purchase items which become available one at a time and which …
total budget want to purchase items which become available one at a time and which …
Maximizing profit with convex costs in the random-order model
Suppose a set of requests arrives online: each request gives some value $ v_i $ if accepted,
but requires using some amount of each of $ d $ resources. Our cost is a convex function of …
but requires using some amount of each of $ d $ resources. Our cost is a convex function of …
A truthful near-optimal mechanism for online linear packing-covering problem in the random order model
Our focus is on the online linear packing-covering problem (OLPCP). Within this domain, we
present an algorithm that attains near-optimal performance based on generalized Chernoff …
present an algorithm that attains near-optimal performance based on generalized Chernoff …
Competitive online algorithms for resource allocation over the positive semidefinite cone
We consider a new and general online resource allocation problem, where the goal is to
maximize a function of a positive semidefinite (PSD) matrix with a scalar budget constraint …
maximize a function of a positive semidefinite (PSD) matrix with a scalar budget constraint …
How the experts algorithm can help solve lps online
We consider the problem of solving packing/covering LPs online, when the columns of the
constraint matrix are presented in random order. This problem has received much attention …
constraint matrix are presented in random order. This problem has received much attention …
Worst case competitive analysis of online algorithms for conic optimization
Online optimization covers problems such as online resource allocation, online bipartite
matching, adwords (a central problem in e-commerce and advertising), and adwords with …
matching, adwords (a central problem in e-commerce and advertising), and adwords with …
[PDF][PDF] Online algorithm design via smoothing with application to online experiment selection
R Eghbali - 2017 - digital.lib.washington.edu
In this dissertation, we present the results of our research on three topics, namely, the design
and analysis of online convex optimization algorithms, convergence rate analysis of …
and analysis of online convex optimization algorithms, convergence rate analysis of …