conftrace_

learning dynamics

75 papers

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Co-occurring keywords

neural network (6616) game theory (854) representation learning (6206) gradient descent (1144) nash equilibrium (398) neural network optimization (1293) stochastic gradient descent (1091) multi-agent system (1819) transfer learning (5449) zero-sum game (190)

Papers

Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks NIPS 2021
Who Leads and Who Follows in Strategic Classification? NIPS 2021
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay NIPS 2021
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract) IJCAI 2021
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification NIPS 2020
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks NIPS 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NIPS 2020
The route to chaos in routing games: When is price of anarchy too optimistic? NIPS 2020
An analytic theory of shallow networks dynamics for hinge loss classification NIPS 2020
Curvature-corrected learning dynamics in deep neural networks ICML 2020
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy ICML 2020
Investigating Learning Dynamics of BERT Fine-Tuning AACL 2020
Gifting in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2020
Learning to Model Opponent Learning (Student Abstract) AAAI 2020
Convergence of Learning Dynamics in Information Retrieval Games AAAI 2019
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence NIPS 2019
Understanding Learning Dynamics Of Language Models with SVCCA NAACL 2019
Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis NIPS 2019
Learning Dynamics of Linear Denoising Autoencoders ICML 2018
Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima ICML 2018
The Dynamics of Learning: A Random Matrix Approach ICML 2018
Addressing Environment Non-Stationarity by Repeating Q-learning Updates JMLR 2016
Spike timing-dependent plasticity as dynamic filter NIPS 2010