ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1604.01999
  4. Cited By
Online Optimization of Smoothed Piecewise Constant Functions
v1v2 (latest)

Online Optimization of Smoothed Piecewise Constant Functions

7 April 2016
Vincent Cohen-Addad
Varun Kanade
ArXiv (abs)PDFHTML

Papers citing "Online Optimization of Smoothed Piecewise Constant Functions"

12 / 12 papers shown
Title
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and
  Two-Part Tariffs
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
Maria-Florina Balcan
Hedyeh Beyhaghi
62
4
0
22 Feb 2023
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
Nika Haghtalab
Yanjun Han
Abhishek Shetty
Kunhe Yang
108
25
0
17 Feb 2022
Learning-to-learn non-convex piecewise-Lipschitz functions
Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan
M. Khodak
Dravyansh Sharma
Ameet Talwalkar
69
14
0
19 Aug 2021
Smoothed Analysis with Adaptive Adversaries
Smoothed Analysis with Adaptive Adversaries
Nika Haghtalab
Tim Roughgarden
Abhishek Shetty
AAML
128
54
0
16 Feb 2021
Data-driven Algorithm Design
Data-driven Algorithm Design
Maria-Florina Balcan
37
2
0
14 Nov 2020
Smoothed Analysis of Online and Differentially Private Learning
Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab
Tim Roughgarden
Abhishek Shetty
86
51
0
17 Jun 2020
Learning piecewise Lipschitz functions in changing environments
Learning piecewise Lipschitz functions in changing environments
Maria-Florina Balcan
Travis Dick
Dravyansh Sharma
50
2
0
22 Jul 2019
Learning to Optimize Computational Resources: Frugal Training with
  Generalization Guarantees
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees
Maria-Florina Balcan
Tuomas Sandholm
Ellen Vitercik
70
16
0
26 May 2019
Learning to Prune: Speeding up Repeated Computations
Learning to Prune: Speeding up Repeated Computations
Daniel Alabi
Adam Tauman Kalai
Katrina Ligett
Cameron Musco
Christos Tzamos
Ellen Vitercik
49
19
0
26 Apr 2019
Semi-bandit Optimization in the Dispersed Setting
Semi-bandit Optimization in the Dispersed Setting
Maria-Florina Balcan
Travis Dick
W. Pegden
50
21
0
18 Apr 2019
An Optimal Policy for Dynamic Assortment Planning Under Uncapacitated
  Multinomial Logit Models
An Optimal Policy for Dynamic Assortment Planning Under Uncapacitated Multinomial Logit Models
Xi Chen
Yining Wang
Yuanshuo Zhou
130
4
0
12 May 2018
Dispersion for Data-Driven Algorithm Design, Online Learning, and
  Private Optimization
Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization
Maria-Florina Balcan
Travis Dick
Ellen Vitercik
101
75
0
08 Nov 2017
1