Reproducibility in Optimization: Theoretical Framework and Limits

Reproducibility in Optimization: Theoretical Framework and Limits

9 February 2022

Praneeth Netrapalli

Papers citing "Reproducibility in Optimization: Theoretical Framework and Limits"

13 / 13 papers shown

Title
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 32 1 0 08 May 2025
Generalizability of experimental studies Federico Matteucci Vadim Arzamasov Jose Cribeiro-Ramallo Marco Heyden Konstantin Ntounas Klemens Bohm 47 0 0 25 Jun 2024
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization Liang Zhang Junchi Yang Amin Karbasi Niao He 26 2 0 26 Oct 2023
Statistical Indistinguishability of Learning Algorithms Alkis Kalavasis Amin Karbasi Shay Moran Grigoris Velegkas 25 16 0 23 May 2023
Replicability and stability in learning Zachary Chase Shay Moran Amir Yehudayoff 24 9 0 07 Apr 2023
List and Certificate Complexities in Replicable Learning P. Dixon A. Pavan Jason Vander Woude N. V. Vinodchandran 24 12 0 05 Apr 2023
Replicable Clustering Hossein Esfandiari Amin Karbasi Vahab Mirrokni Grigoris Velegkas Felix Y. Zhou 29 13 0 20 Feb 2023
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 23 41 0 12 Sep 2022
A Siren Song of Open Source Reproducibility Edward Raff Andrew L. Farris 16 9 0 09 Apr 2022
On the Sample Complexity of Stability Constrained Imitation Learning Stephen Tu Alexander Robey Tingnan Zhang Nikolai Matni 46 38 0 18 Feb 2021
Anti-Distillation: Improving reproducibility of deep networks G. Shamir Lorenzo Coviello 42 20 0 19 Oct 2020
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016