Learning-Augmented Search Data Structures
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Chunkai, Nguyen, Brandon G., Seo, Jung Hoon, Zesch, Ryan, Zhou, Samson |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transductive and Learning-Augmented Online Regression
by: Raman, Vinod, et al.
Published: (2025)
by: Raman, Vinod, et al.
Published: (2025)
Learning-Augmented Hierarchical Clustering
by: Braverman, Vladimir, et al.
Published: (2025)
by: Braverman, Vladimir, et al.
Published: (2025)
Learning-Augmented Moment Estimation on Time-Decay Models
by: Nagawanshi, Soham, et al.
Published: (2026)
by: Nagawanshi, Soham, et al.
Published: (2026)
On the Power of Learning-Augmented Search Trees
by: Chen, Jingbang, et al.
Published: (2022)
by: Chen, Jingbang, et al.
Published: (2022)
Better Bounds for the Distributed Experts Problem
by: Woodruff, David P., et al.
Published: (2026)
by: Woodruff, David P., et al.
Published: (2026)
Online Learning with Limited Information in the Sliding Window Model
by: Braverman, Vladimir, et al.
Published: (2026)
by: Braverman, Vladimir, et al.
Published: (2026)
Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High dimensions
by: Cheng, Kangke, et al.
Published: (2026)
by: Cheng, Kangke, et al.
Published: (2026)
On Socially Fair Low-Rank Approximation and Column Subset Selection
by: Song, Zhao, et al.
Published: (2024)
by: Song, Zhao, et al.
Published: (2024)
Robust Learning-Augmented Dictionaries
by: Zeynali, Ali, et al.
Published: (2024)
by: Zeynali, Ali, et al.
Published: (2024)
Learning-Augmented Frequent Directions
by: Aamand, Anders, et al.
Published: (2025)
by: Aamand, Anders, et al.
Published: (2025)
Learning-Augmented Algorithms with Explicit Predictors
by: Elias, Marek, et al.
Published: (2024)
by: Elias, Marek, et al.
Published: (2024)
Learning Augmented Graph $k$-Clustering
by: Fan, Chenglin, et al.
Published: (2025)
by: Fan, Chenglin, et al.
Published: (2025)
Learning-Augmented Algorithms for $k$-median via Online Learning
by: Hebbar, Anish, et al.
Published: (2026)
by: Hebbar, Anish, et al.
Published: (2026)
Learning-Augmented Frequency Estimation in Sliding Windows
by: Shahout, Rana, et al.
Published: (2024)
by: Shahout, Rana, et al.
Published: (2024)
Towards Optimal Robustness in Learning-Augmented Paging
by: Chen, Peng, et al.
Published: (2026)
by: Chen, Peng, et al.
Published: (2026)
Parsimonious Learning-Augmented Online Metric Matching
by: Shin, Yongho, et al.
Published: (2026)
by: Shin, Yongho, et al.
Published: (2026)
Learning-Augmented Streaming Algorithms for Correlation Clustering
by: Dong, Yinhao, et al.
Published: (2025)
by: Dong, Yinhao, et al.
Published: (2025)
Prediction-Specific Design of Learning-Augmented Algorithms
by: Li, Sizhe, et al.
Published: (2025)
by: Li, Sizhe, et al.
Published: (2025)
Learning-Augmented Online Scheduling with Parsimonious Preemption
by: Blue, Mugen, et al.
Published: (2026)
by: Blue, Mugen, et al.
Published: (2026)
Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
by: Angelopoulos, Spyros, et al.
Published: (2024)
by: Angelopoulos, Spyros, et al.
Published: (2024)
Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms
by: Angelopoulos, Spyros, et al.
Published: (2025)
by: Angelopoulos, Spyros, et al.
Published: (2025)
Learned Static Function Data Structures
by: Hermann, Stefan, et al.
Published: (2025)
by: Hermann, Stefan, et al.
Published: (2025)
Discovering Data Structures: Nearest Neighbor Search and Beyond
by: Salemohamed, Omar, et al.
Published: (2024)
by: Salemohamed, Omar, et al.
Published: (2024)
Fair Submodular Cover
by: Chen, Wenjing, et al.
Published: (2024)
by: Chen, Wenjing, et al.
Published: (2024)
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
by: Lechowicz, Adam, et al.
Published: (2023)
by: Lechowicz, Adam, et al.
Published: (2023)
Asymptotically Robust Learning-Augmented Algorithms for Preemptive FIFO Buffer Management
by: Hsieh, Wen-Han, et al.
Published: (2026)
by: Hsieh, Wen-Han, et al.
Published: (2026)
Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
by: Chen, Peng, et al.
Published: (2025)
by: Chen, Peng, et al.
Published: (2025)
Learning-Augmented Online Bipartite Matching in the Random Arrival Order Model
by: Burathep, Kunanon, et al.
Published: (2025)
by: Burathep, Kunanon, et al.
Published: (2025)
Learning-Augmented Ski Rental with Discrete Distributions: A Bayesian Approach
by: Kang, Bosun, et al.
Published: (2025)
by: Kang, Bosun, et al.
Published: (2025)
Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
by: Veldt, Nate, et al.
Published: (2026)
by: Veldt, Nate, et al.
Published: (2026)
Learning Tree-Structured Composition of Data Augmentation
by: Li, Dongyue, et al.
Published: (2024)
by: Li, Dongyue, et al.
Published: (2024)
Distribution Learning Meets Graph Structure Sampling
by: Bhattacharyya, Arnab, et al.
Published: (2024)
by: Bhattacharyya, Arnab, et al.
Published: (2024)
Binary Search with Distributional Predictions
by: Dinitz, Michael, et al.
Published: (2024)
by: Dinitz, Michael, et al.
Published: (2024)
Actively Learning Halfspaces without Synthetic Data
by: Black, Hadley, et al.
Published: (2025)
by: Black, Hadley, et al.
Published: (2025)
Hierarchical Clustering via Local Search
by: Jowhari, Hossein
Published: (2024)
by: Jowhari, Hossein
Published: (2024)
Optimal Algorithms for Augmented Testing of Discrete Distributions
by: Aliakbarpour, Maryam, et al.
Published: (2024)
by: Aliakbarpour, Maryam, et al.
Published: (2024)
Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions
by: Aliakbarpour, Maryam, et al.
Published: (2026)
by: Aliakbarpour, Maryam, et al.
Published: (2026)
Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach
by: Nguyen, Tuan-Anh, et al.
Published: (2024)
by: Nguyen, Tuan-Anh, et al.
Published: (2024)
A Competitive Algorithm for Agnostic Active Learning
by: Price, Eric, et al.
Published: (2023)
by: Price, Eric, et al.
Published: (2023)
Adaptive Power Iteration Method for Differentially Private PCA
by: Nguyen, Ta Duy, et al.
Published: (2026)
by: Nguyen, Ta Duy, et al.
Published: (2026)
Similar Items
-
Transductive and Learning-Augmented Online Regression
by: Raman, Vinod, et al.
Published: (2025) -
Learning-Augmented Hierarchical Clustering
by: Braverman, Vladimir, et al.
Published: (2025) -
Learning-Augmented Moment Estimation on Time-Decay Models
by: Nagawanshi, Soham, et al.
Published: (2026) -
On the Power of Learning-Augmented Search Trees
by: Chen, Jingbang, et al.
Published: (2022) -
Better Bounds for the Distributed Experts Problem
by: Woodruff, David P., et al.
Published: (2026)