Saved in:
| Main Authors: | Croquevielle, Luis Alberto, Sokolovskii, Roman, Heinis, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.06629 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Querying in Constant Expected Time with Learned Indexes
by: Croquevielle, Luis, et al.
Published: (2024)
by: Croquevielle, Luis, et al.
Published: (2024)
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
by: Klivans, Adam R., et al.
Published: (2024)
by: Klivans, Adam R., et al.
Published: (2024)
Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-index Models
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Statistical Query Lower Bounds for Smoothed Agnostic Learning
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
A Residual-Shell-Based Lower Bound for Ollivier-Ricci Curvature
by: Gu, Xiang, et al.
Published: (2026)
by: Gu, Xiang, et al.
Published: (2026)
Lower Bounds for Greedy Teaching Set Constructions
by: Compton, Spencer, et al.
Published: (2025)
by: Compton, Spencer, et al.
Published: (2025)
Statistical Query Lower Bounds for Learning Truncated Gaussians
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes
by: Peter, Naty, et al.
Published: (2023)
by: Peter, Naty, et al.
Published: (2023)
A Tight Lower Bound for the Approximation Guarantee of Higher-Order Singular Value Decomposition
by: Fahrbach, Matthew, et al.
Published: (2025)
by: Fahrbach, Matthew, et al.
Published: (2025)
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
by: Zhang, Yexin, et al.
Published: (2024)
by: Zhang, Yexin, et al.
Published: (2024)
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
by: Amanatidis, Georgios, et al.
Published: (2021)
by: Amanatidis, Georgios, et al.
Published: (2021)
Correlation Clustering Algorithm for Dynamic Complete Signed Graphs: An Index-based Approach
by: Shakiba, Ali
Published: (2023)
by: Shakiba, Ali
Published: (2023)
The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits
by: Assadi, Sepehr, et al.
Published: (2023)
by: Assadi, Sepehr, et al.
Published: (2023)
Lower Bound on the Greedy Approximation Ratio for Adaptive Submodular Cover
by: Harris, Blake, et al.
Published: (2024)
by: Harris, Blake, et al.
Published: (2024)
Finite Sample Bounds for Learning with Score Matching
by: Smedira, Devin, et al.
Published: (2026)
by: Smedira, Devin, et al.
Published: (2026)
Tight Bounds for Learning Polyhedra with a Margin
by: Patel, Shyamal, et al.
Published: (2026)
by: Patel, Shyamal, et al.
Published: (2026)
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
by: Veldt, Nate, et al.
Published: (2026)
by: Veldt, Nate, et al.
Published: (2026)
Testing Noise Assumptions of Learning Algorithms
by: Goel, Surbhi, et al.
Published: (2025)
by: Goel, Surbhi, et al.
Published: (2025)
Learning-Augmented Algorithms with Explicit Predictors
by: Elias, Marek, et al.
Published: (2024)
by: Elias, Marek, et al.
Published: (2024)
Algorithms with Calibrated Machine Learning Predictions
by: Shen, Judy Hanwen, et al.
Published: (2025)
by: Shen, Judy Hanwen, et al.
Published: (2025)
An Effective Branch-and-Bound Algorithm with New Bounding Methods for the Maximum $s$-Bundle Problem
by: Xue, Jinghui, et al.
Published: (2024)
by: Xue, Jinghui, et al.
Published: (2024)
Learning-Augmented Algorithms for $k$-median via Online Learning
by: Hebbar, Anish, et al.
Published: (2026)
by: Hebbar, Anish, et al.
Published: (2026)
Query Lower Bounds for Diffusion Sampling
by: Xun, Zhiyang, et al.
Published: (2026)
by: Xun, Zhiyang, 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)
A Competitive Algorithm for Agnostic Active Learning
by: Price, Eric, et al.
Published: (2023)
by: Price, Eric, et al.
Published: (2023)
Faster Algorithms for Agnostically Learning Disjunctions and their Implications
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, 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)
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
by: Goel, Surbhi, et al.
Published: (2024)
by: Goel, Surbhi, et al.
Published: (2024)
Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes
by: Portella, Victor S., et al.
Published: (2024)
by: Portella, Victor S., 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)
Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
by: Angelopoulos, Spyros, et al.
Published: (2024)
by: Angelopoulos, Spyros, et al.
Published: (2024)
Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds
by: Bhore, Sujoy, et al.
Published: (2026)
by: Bhore, Sujoy, et al.
Published: (2026)
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
by: Joshi, Nirmit, et al.
Published: (2024)
by: Joshi, Nirmit, et al.
Published: (2024)
Mistake-Bounded Language Generation
by: Kleinberg, Jon, et al.
Published: (2026)
by: Kleinberg, Jon, et al.
Published: (2026)
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
by: Lechowicz, Adam, et al.
Published: (2023)
by: Lechowicz, Adam, et al.
Published: (2023)
Better Models and Algorithms for Learning Ising Models from Dynamics
by: Gaitonde, Jason, et al.
Published: (2025)
by: Gaitonde, Jason, et al.
Published: (2025)
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
by: Javanmard, Adel, et al.
Published: (2024)
by: Javanmard, Adel, et al.
Published: (2024)
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis
by: Lyu, Xin, et al.
Published: (2024)
by: Lyu, Xin, et al.
Published: (2024)
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)
Similar Items
-
Querying in Constant Expected Time with Learned Indexes
by: Croquevielle, Luis, et al.
Published: (2024) -
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
by: Klivans, Adam R., et al.
Published: (2024) -
Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-index Models
by: Diakonikolas, Ilias, et al.
Published: (2025) -
Statistical Query Lower Bounds for Smoothed Agnostic Learning
by: Diakonikolas, Ilias, et al.
Published: (2026) -
A Residual-Shell-Based Lower Bound for Ollivier-Ricci Curvature
by: Gu, Xiang, et al.
Published: (2026)