Co-occurring keywords · papers mentioning both
Papers
Federated Learning for Feature Generalization with Convex Constraints
ICML 2025
Directional Optimism for Safe Linear Bandits
AISTATS 2024
Revisiting Projection-free Online Learning: the Strongly Convex Case
AISTATS 2021
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
NeurIPS 2020
Constrained episodic reinforcement learning in concave-convex and knapsack settings
NeurIPS 2020
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
NeurIPS 2020
Gaussian Processes with Linear Operator Inequality Constraints
JMLR 2019
Gaussian Regression with Convex Constraints
AISTATS 2019
Reinforcement Learning with Convex Constraints
NeurIPS 2019
Solving Large Extensive-Form Games with Strategy Constraints
AAAI 2019
Generalized Linear Model Regression under Distance-to-set Penalties
NeurIPS 2017
Adaptive Algorithms for Online Convex Optimization with Long-term Constraints
ICML 2016
Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares
JMLR 2016