Competitive Gradient Descent

28 May 2019

Papers citing "Competitive Gradient Descent"

17 / 17 papers shown

Title
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 36 0 0 29 Sep 2024
Beyond first-order methods for non-convex non-concave min-max optimization Abhijeet Vyas Brian Bullins 23 1 0 17 Apr 2023
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 24 7 0 10 Dec 2022
Riemannian Hamiltonian methods for min-max optimization on manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 35 17 0 25 Apr 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 25 22 0 07 Feb 2022
GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration Huan He Shifan Zhao Yuanzhe Xi Joyce C. Ho Y. Saad 34 1 0 06 Oct 2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages E. Ponti Rahul Aralikatte Disha Shrivastava Siva Reddy Anders Søgaard 40 16 0 02 Jun 2021
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data Massimiliano Lupo Pasini Vittorio Gabbi Junqi Yin S. Perotto N. Laanait GAN AI4CE 24 3 0 21 Feb 2021
Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics Stefan Heidekrüger P. Sutterer Nils Kohring Maximilian Fichtl M. Bichler 19 5 0 28 Jan 2021
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities Brian Bullins Kevin A. Lai 33 36 0 09 Jul 2020
Stochastic Hamiltonian Gradient Methods for Smooth Games Nicolas Loizou Hugo Berard Alexia Jolicoeur-Martineau Pascal Vincent Simon Lacoste-Julien Ioannis Mitliagkas 39 50 0 08 Jul 2020
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos V. Cevher 32 81 0 16 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 24 32 0 26 May 2020
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks Claude Rosin Ngueveu A. Boutet Carole Frindel Sébastien Gambs T. Jourdan Claude Rosin Ngueveu 30 27 0 23 Mar 2020
On the distance between two neural networks and the stability of learning Jeremy Bernstein Arash Vahdat Yisong Yue Xuan Li ODL 200 57 0 09 Feb 2020
Understanding and mitigating gradient pathologies in physics-informed neural networks Sizhuang He Yujun Teng P. Perdikaris AI4CE PINN 35 291 0 13 Jan 2020
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019