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Papers (including subtopics)

Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024 Robust Reward Placement under Uncertainty IJCAI 2024 Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination ICML 2024 Robust Sparse Regression with Non-Isotropic Designs NeurIPS 2024 Robust Sparse Voting AISTATS 2024 Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 Roping in Uncertainty: Robustness and Regularization in Markov Games ICML 2024 Runtime Analysis of the SMS-EMOA for Many-Objective Optimization AAAI 2024 Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations AAAI 2024 Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NeurIPS 2024 Safe and Robust Subgame Exploitation in Imperfect Information Games ICML 2024 Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport NeurIPS 2024 Safe dynamic pricing for nonstationary network resource allocation L4DC 2024 Safe Linear Bandits over Unknown Polytopes COLT 2024 Safe online convex optimization with multi-point feedback L4DC 2024 Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NeurIPS 2024 Sample-and-Bound for Non-convex Optimization AAAI 2024 Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NeurIPS 2024 Sample Average Approximation for Black-Box Variational Inference UAI 2024 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NeurIPS 2024 Sample Complexity of Posted Pricing for a Single Item NeurIPS 2024 Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024 Sample-efficient Bayesian Optimisation Using Known Invariances NeurIPS 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024