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Dynamical Models and Tracking Regret in Online Convex Programming

Dynamical Models and Tracking Regret in Online Convex Programming

7 January 2013
Eric C. Hall
Rebecca Willett
ArXivPDFHTML

Papers citing "Dynamical Models and Tracking Regret in Online Convex Programming"

18 / 18 papers shown
Title
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
34
2
0
18 May 2024
A Stability Principle for Learning under Non-Stationarity
A Stability Principle for Learning under Non-Stationarity
Chengpiao Huang
Kaizheng Wang
24
2
0
27 Oct 2023
Efficient Methods for Non-stationary Online Learning
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi-Hua Zhou
36
19
0
16 Sep 2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for
  Convex and Non-convex Problems
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
Ting-Jui Chang
Sapana Chaudhary
D. Kalathil
Shahin Shahrampour
11
5
0
23 Feb 2023
Adaptive Online Learning of Quantum States
Adaptive Online Learning of Quantum States
Xinyi Chen
Elad Hazan
Tongyang Li
Zhou Lu
Xinzhao Wang
Rui Yang
8
13
0
01 Jun 2022
Improving Dynamic Regret in Distributed Online Mirror Descent Using
  Primal and Dual Information
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information
Nima Eshraghi
Ben Liang
53
9
0
07 Dec 2021
Dynamic Mirror Descent based Model Predictive Control for Accelerating
  Robot Learning
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning
Utkarsh Aashu Mishra
Soumya R. Samineni
Prakhar Goel
Chandravaran Kunjeti
Himanshu Lodha
Aman Singh
Aditya Sagi
S. Bhatnagar
Shishir N Y Kolathaya
8
3
0
04 Nov 2021
Learning-Augmented Dynamic Power Management with Multiple States via New
  Ski Rental Bounds
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
A. Antoniadis
Christian Coester
Marek Eliáš
Adam Polak
Bertrand Simon
23
20
0
25 Oct 2021
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy
  RL
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL
Aarush Gupta
8
0
0
23 Oct 2021
Adaptive Online Estimation of Piecewise Polynomial Trends
Adaptive Online Estimation of Piecewise Polynomial Trends
Dheeraj Baby
Yu-Xiang Wang
16
12
0
30 Sep 2020
Gradient-Variation Bound for Online Convex Optimization with Constraints
Gradient-Variation Bound for Online Convex Optimization with Constraints
Shuang Qiu
Xiaohan Wei
Mladen Kolar
28
1
0
22 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Mehrdad Khani Shirkoohi
Pouya Hamadanian
Arash Nasr-Esfahany
Mohammad Alizadeh
14
45
0
11 Jun 2020
Predictive online optimisation with applications to optical flow
Predictive online optimisation with applications to optical flow
T. Valkonen
6
3
0
08 Feb 2020
Adaptive Regret of Convex and Smooth Functions
Adaptive Regret of Convex and Smooth Functions
Lijun Zhang
Tie-Yan Liu
Zhi-Hua Zhou
ODL
14
45
0
26 Apr 2019
Online Learning with Continuous Variations: Dynamic Regret and
  Reductions
Online Learning with Continuous Variations: Dynamic Regret and Reductions
Ching-An Cheng
Jonathan Lee
Ken Goldberg
Byron Boots
24
16
0
19 Feb 2019
Smoothed Online Convex Optimization in High Dimensions via Online
  Balanced Descent
Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent
Niangjun Chen
Gautam Goel
Adam Wierman
14
79
0
28 Mar 2018
Improved Dynamic Regret for Non-degenerate Functions
Improved Dynamic Regret for Non-degenerate Functions
Lijun Zhang
Tianbao Yang
Jinfeng Yi
Jing Rong
Zhi-Hua Zhou
16
127
0
13 Aug 2016
Tracking Dynamic Point Processes on Networks
Tracking Dynamic Point Processes on Networks
Eric C. Hall
Rebecca Willett
22
60
0
29 Aug 2014
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