Co-occurring keywords · papers mentioning both
Papers
Learning the Positions in CountSketch
ICLR 2023
Learning to Design Fair and Private Voting Rules (Extended Abstract)
IJCAI 2023
Learning to Optimize with Stochastic Dominance Constraints
AISTATS 2023
Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
ICML 2023
Metric Nearness Made Practical
AAAI 2023
Multi-Agent First Order Constrained Optimization in Policy Space
NeurIPS 2023
Omnipredictors for Constrained Optimization
ICML 2023
Online Constrained Meta-Learning: Provable Guarantees for Generalization
NeurIPS 2023
On the Constrained Time-Series Generation Problem
NeurIPS 2023
Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
NeurIPS 2023
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization
AISTATS 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
ICML 2023
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
L4DC 2023
Reduced Policy Optimization for Continuous Control with Hard Constraints
NeurIPS 2023
Resilient Constrained Learning
NeurIPS 2023
Self-Supervised Primal-Dual Learning for Constrained Optimization
AAAI 2023
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization
NeurIPS 2023
Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning
RSS 2023
Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint
JMLR 2023
Stochastic Causal Programming for Bounding Treatment Effects
CLeaR 2023
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation
AAAI 2023
Targeted Adversarial Attacks against Neural Network Trajectory Predictors
L4DC 2023
The Computational Complexity of Finding Stationary Points in Non-Convex Optimization
COLT 2023
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
ICML 2023
Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints
NeurIPS 2023