Co-occurring keywords · papers mentioning both
Papers
Data Selection for ERMs
COLT 2025
Open Problem: Data Selection for Regression Tasks
COLT 2025
Weak-to-Strong Generalization Even in Random Feature Networks, Provably
ICML 2025
Discovering Temporally-Aware Reinforcement Learning Algorithms
ICLR 2024
Curriculum learning as a tool to uncover learning principles in the brain
ICLR 2022
Distinguishing Learning Rules with Brain Machine Interfaces
NeurIPS 2022
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
NeurIPS 2021
Credit Assignment Through Broadcasting a Global Error Vector
NeurIPS 2021
Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity
NeurIPS 2021
Characterizing emergent representations in a space of candidate learning rules for deep networks
NeurIPS 2020
Identifying Learning Rules From Neural Network Observables
NeurIPS 2020
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
NeurIPS 2020
Decoupling Gradient-Like Learning Rules from Representations
ICML 2018
Adaptive optimal training of animal behavior
NeurIPS 2016
Feedforward Learning of Mixture Models
NeurIPS 2014
Code-specific policy gradient rules for spiking neurons
NeurIPS 2009