Optimal Algorithms for Augmented Testing of Discrete Distributions
Fuente:
arXiv
Guardado en:
| Autores principales: | Aliakbarpour, Maryam, Indyk, Piotr, Rubinfeld, Ronitt, Silwal, Sandeep |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Better Private Distribution Testing by Leveraging Unverified Auxiliary Data
por: Aliakbarpour, Maryam, et al.
Publicado: (2025)
por: Aliakbarpour, Maryam, et al.
Publicado: (2025)
Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions
por: Aliakbarpour, Maryam, et al.
Publicado: (2026)
por: Aliakbarpour, Maryam, et al.
Publicado: (2026)
A Bi-metric Framework for Fast Similarity Search
por: Xu, Haike, et al.
Publicado: (2024)
por: Xu, Haike, et al.
Publicado: (2024)
How fast can you find a good hypothesis?
por: Aamand, Anders, et al.
Publicado: (2025)
por: Aamand, Anders, et al.
Publicado: (2025)
On the Structure of Replicable Hypothesis Testers
por: Aamand, Anders, et al.
Publicado: (2025)
por: Aamand, Anders, et al.
Publicado: (2025)
Quality control in sublinear time: a case study via random graphs
por: Marcussen, Cassandra, et al.
Publicado: (2025)
por: Marcussen, Cassandra, et al.
Publicado: (2025)
Statistical-Computational Trade-offs for Density Estimation
por: Aamand, Anders, et al.
Publicado: (2024)
por: Aamand, Anders, et al.
Publicado: (2024)
Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions
por: Indyk, Piotr, et al.
Publicado: (2025)
por: Indyk, Piotr, et al.
Publicado: (2025)
Stochastic Matching via In-n-Out Local Computation Algorithms
por: Azarmehr, Amir, et al.
Publicado: (2024)
por: Azarmehr, Amir, et al.
Publicado: (2024)
Improved Local Computation Algorithms for Greedy Set Cover via Retroactive Updates
por: Mitrović, Slobodan, et al.
Publicado: (2026)
por: Mitrović, Slobodan, et al.
Publicado: (2026)
Testable algorithms for approximately counting edges and triangles in sublinear time and space
por: Eden, Talya, et al.
Publicado: (2025)
por: Eden, Talya, et al.
Publicado: (2025)
Locally computing edge orientations
por: Mitrović, Slobodan, et al.
Publicado: (2025)
por: Mitrović, Slobodan, et al.
Publicado: (2025)
Learning-Augmented Frequent Directions
por: Aamand, Anders, et al.
Publicado: (2025)
por: Aamand, Anders, et al.
Publicado: (2025)
Approximately Counting and Sampling Hamiltonian Motifs in Sublinear Time
por: Eden, Talya, et al.
Publicado: (2025)
por: Eden, Talya, et al.
Publicado: (2025)
Beyond Worst-Case Dimensionality Reduction for Sparse Vectors
por: Silwal, Sandeep, et al.
Publicado: (2025)
por: Silwal, Sandeep, et al.
Publicado: (2025)
No Price Tags? No Problem: Query Strategies for Unpriced Information
por: Nadimpalli, Shivam, et al.
Publicado: (2025)
por: Nadimpalli, Shivam, et al.
Publicado: (2025)
Provable Quantization with Randomized Hadamard Transform
por: Feng, Ying, et al.
Publicado: (2026)
por: Feng, Ying, et al.
Publicado: (2026)
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
por: Aliakbarpour, Maryam, et al.
Publicado: (2025)
por: Aliakbarpour, Maryam, et al.
Publicado: (2025)
Even Faster Algorithm for the Chamfer Distance
por: Feng, Ying, et al.
Publicado: (2025)
por: Feng, Ying, et al.
Publicado: (2025)
Metalearning with Very Few Samples Per Task
por: Aliakbarpour, Maryam, et al.
Publicado: (2023)
por: Aliakbarpour, Maryam, et al.
Publicado: (2023)
Dimension-Accuracy Tradeoffs in Contrastive Embeddings for Triplets, Terminals & Top-k Nearest Neighbors
por: Chatziafratis, Vaggos, et al.
Publicado: (2023)
por: Chatziafratis, Vaggos, et al.
Publicado: (2023)
High-Probability Bounds For Heterogeneous Local Differential Privacy
por: Aliakbarpour, Maryam, et al.
Publicado: (2025)
por: Aliakbarpour, Maryam, et al.
Publicado: (2025)
Improved Approximations for Hard Graph Problems using Predictions
por: Aamand, Anders, et al.
Publicado: (2025)
por: Aamand, Anders, et al.
Publicado: (2025)
Beyond Worst Case Local Computation Algorithms
por: Biswas, Amartya Shankha, et al.
Publicado: (2024)
por: Biswas, Amartya Shankha, et al.
Publicado: (2024)
Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
por: Angelopoulos, Spyros, et al.
Publicado: (2024)
por: Angelopoulos, Spyros, et al.
Publicado: (2024)
Learning-Augmented Ski Rental with Discrete Distributions: A Bayesian Approach
por: Kang, Bosun, et al.
Publicado: (2025)
por: Kang, Bosun, et al.
Publicado: (2025)
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
por: Gao, Jie, et al.
Publicado: (2025)
por: Gao, Jie, et al.
Publicado: (2025)
Efficiently Computing Similarities to Private Datasets
por: Backurs, Arturs, et al.
Publicado: (2024)
por: Backurs, Arturs, et al.
Publicado: (2024)
A Fast Coloring Oracle for Average Case Hypergraphs
por: Marcussen, Cassandra, et al.
Publicado: (2025)
por: Marcussen, Cassandra, et al.
Publicado: (2025)
Near-Optimal Algorithms for Omniprediction
por: Okoroafor, Princewill, et al.
Publicado: (2025)
por: Okoroafor, Princewill, et al.
Publicado: (2025)
Learning-Augmented Algorithms with Explicit Predictors
por: Elias, Marek, et al.
Publicado: (2024)
por: Elias, Marek, et al.
Publicado: (2024)
Dimension Reduction for Clustering: The Curious Case of Discrete Centers
por: Jiang, Shaofeng H. -C., et al.
Publicado: (2025)
por: Jiang, Shaofeng H. -C., et al.
Publicado: (2025)
Towards Optimal Robustness in Learning-Augmented Paging
por: Chen, Peng, et al.
Publicado: (2026)
por: Chen, Peng, et al.
Publicado: (2026)
Learning-Augmented Streaming Algorithms for Correlation Clustering
por: Dong, Yinhao, et al.
Publicado: (2025)
por: Dong, Yinhao, et al.
Publicado: (2025)
Prediction-Specific Design of Learning-Augmented Algorithms
por: Li, Sizhe, et al.
Publicado: (2025)
por: Li, Sizhe, et al.
Publicado: (2025)
Instance-Optimal Uniformity Testing and Tracking
por: Blanc, Guy, et al.
Publicado: (2025)
por: Blanc, Guy, et al.
Publicado: (2025)
Testing Noise Assumptions of Learning Algorithms
por: Goel, Surbhi, et al.
Publicado: (2025)
por: Goel, Surbhi, et al.
Publicado: (2025)
Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms
por: Angelopoulos, Spyros, et al.
Publicado: (2025)
por: Angelopoulos, Spyros, et al.
Publicado: (2025)
A Simple Approximation Algorithm for Optimal Decision Tree
por: Zhuo, Zhengjia, et al.
Publicado: (2025)
por: Zhuo, Zhengjia, et al.
Publicado: (2025)
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
por: Lechowicz, Adam, et al.
Publicado: (2023)
por: Lechowicz, Adam, et al.
Publicado: (2023)
Ejemplares similares
-
Better Private Distribution Testing by Leveraging Unverified Auxiliary Data
por: Aliakbarpour, Maryam, et al.
Publicado: (2025) -
Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions
por: Aliakbarpour, Maryam, et al.
Publicado: (2026) -
A Bi-metric Framework for Fast Similarity Search
por: Xu, Haike, et al.
Publicado: (2024) -
How fast can you find a good hypothesis?
por: Aamand, Anders, et al.
Publicado: (2025) -
On the Structure of Replicable Hypothesis Testers
por: Aamand, Anders, et al.
Publicado: (2025)