performance guarantee

Data-dependent Algorithmic Robustness Analysis of Pairwise Learning ACML 2025 Supervised Learning with Evolving Tasks and Performance Guarantees JMLR 2025 Optimistic Bayesian Optimization with Unknown Constraints ICLR 2024 Towards provably performant congestion control NSDI 2024 How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NeurIPS 2023 Minimax Risk Classifiers with 0-1 Loss JMLR 2023 The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem IJCAI 2023 Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023 Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees ICML 2022 Incorporating Unlabeled Data into Distributionally Robust Learning JMLR 2021 Meta-Model-Based Meta-Policy Optimization ACML 2021 Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs NeurIPS 2021 Neural Active Learning with Performance Guarantees NeurIPS 2021 Online Facility Location with Multiple Advice NeurIPS 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees AISTATS 2021 Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020 Minimax Classification with 0-1 Loss and Performance Guarantees NeurIPS 2020 Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison UAI 2020 Earliest-Completion Scheduling of Contract Algorithms with End Guarantees IJCAI 2019 Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019 Online Reciprocal Recommendation with Theoretical Performance Guarantees NeurIPS 2018