adaptive algorithm

Merlin: An Efficient Adaptive Cache Eviction Algorithm via Fine-Grained Characterization OSDI 2026 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 Adaptive Keyframe Sampling for Long Video Understanding CVPR 2025 On the Power of Optimism in Constrained Online Convex Optimization IJCAI 2025 Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift AAAI 2025 AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024 Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NeurIPS 2024 An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024 Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024 Discounted Adaptive Online Learning: Towards Better Regularization ICML 2024 Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation ACL 2024 Informative Path Planning with Limited Adaptivity AISTATS 2024 Learning from Snapshots of Discrete and Continuous Data Streams NeurIPS 2024 Learning Multiple Secrets in Mastermind ICML 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 Optimal Clustering with Bandit Feedback JMLR 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning AISTATS 2024 When and How do negative prompts take effect? ECCV 2024 (ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits COLT 2024 Adaptive Algorithms for Relaxed Pareto Set Identification NeurIPS 2023 Adaptive IMLE for Few-shot Pretraining-free Generative Modelling ICML 2023 Adaptivity Complexity for Causal Graph Discovery UAI 2023 A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023