Improved Active Learning via Dependent Leverage Score Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Shimizu, Atsushi, Cheng, Xiaoou, Musco, Christopher, Weare, Jonathan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The surprising efficiency of temporal difference learning for rare event prediction
by: Cheng, Xiaoou, et al.
Published: (2024)
by: Cheng, Xiaoou, et al.
Published: (2024)
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
by: Musco, Christopher, et al.
Published: (2024)
by: Musco, Christopher, et al.
Published: (2024)
Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias
by: Chen, Yifan, et al.
Published: (2024)
by: Chen, Yifan, et al.
Published: (2024)
Agnostic Active Learning of Single Index Models with Linear Sample Complexity
by: Gajjar, Aarshvi, et al.
Published: (2024)
by: Gajjar, Aarshvi, et al.
Published: (2024)
Matrix Product Sketching via Coordinated Sampling
by: Daliri, Majid, et al.
Published: (2025)
by: Daliri, Majid, et al.
Published: (2025)
Globally-Optimal Greedy Experiment Selection for Active Sequential Estimation
by: Li, Xiaoou, et al.
Published: (2024)
by: Li, Xiaoou, et al.
Published: (2024)
Composing diffusion priors with explicit physical context via generative Gibbs sampling
by: Wang, Weizhou, et al.
Published: (2026)
by: Wang, Weizhou, et al.
Published: (2026)
Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers
by: Shimizu, Atsushi, et al.
Published: (2026)
by: Shimizu, Atsushi, et al.
Published: (2026)
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
by: Witter, R. Teal, et al.
Published: (2024)
by: Witter, R. Teal, et al.
Published: (2024)
Sharper Bounds for Chebyshev Moment Matching, with Applications
by: Musco, Cameron, et al.
Published: (2024)
by: Musco, Cameron, et al.
Published: (2024)
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
by: Bu, Dake, et al.
Published: (2024)
by: Bu, Dake, et al.
Published: (2024)
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
by: Chatalic, Antoine, et al.
Published: (2023)
by: Chatalic, Antoine, et al.
Published: (2023)
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
by: Dereziński, Michał, et al.
Published: (2024)
by: Dereziński, Michał, et al.
Published: (2024)
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
by: Diwan, Haya, et al.
Published: (2024)
by: Diwan, Haya, et al.
Published: (2024)
Quantum statistics from classical simulations via generative Gibbs sampling
by: Wang, Weizhou, et al.
Published: (2026)
by: Wang, Weizhou, et al.
Published: (2026)
PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
by: Fumagalli, Fabian, et al.
Published: (2026)
by: Fumagalli, Fabian, et al.
Published: (2026)
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
by: Witter, R. Teal, et al.
Published: (2025)
by: Witter, R. Teal, et al.
Published: (2025)
Ridge Leverage Score Sampling for $\ell_p$ Subspace Approximation
by: Woodruff, David P., et al.
Published: (2024)
by: Woodruff, David P., et al.
Published: (2024)
VARMA-Enhanced Transformer for Time Series Forecasting
by: Song, Jiajun, et al.
Published: (2025)
by: Song, Jiajun, et al.
Published: (2025)
Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias
by: Yifan Chen, et al.
Published: (2026)
by: Yifan Chen, et al.
Published: (2026)
On Improving Deep Active Learning with Formal Verification
by: Spiegelman, Jonathan, et al.
Published: (2025)
by: Spiegelman, Jonathan, et al.
Published: (2025)
Query Efficient Structured Matrix Learning
by: Amsel, Noah, et al.
Published: (2025)
by: Amsel, Noah, et al.
Published: (2025)
Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data
by: Zhang, Huan, et al.
Published: (2024)
by: Zhang, Huan, et al.
Published: (2024)
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
by: Liu, Suqi, et al.
Published: (2024)
by: Liu, Suqi, et al.
Published: (2024)
How to Inverting the Leverage Score Distribution?
by: Li, Zhihang, et al.
Published: (2024)
by: Li, Zhihang, et al.
Published: (2024)
Calibrated Uncertainty Sampling for Active Learning
by: Bui, Ha Manh, et al.
Published: (2025)
by: Bui, Ha Manh, et al.
Published: (2025)
SELAUR: Self Evolving LLM Agent via Uncertainty-aware Rewards
by: Zhang, Dengjia, et al.
Published: (2026)
by: Zhang, Dengjia, et al.
Published: (2026)
An exact multiple-time-step variational formulation for the committor and the transition rate
by: Lorpaiboon, Chatipat, et al.
Published: (2025)
by: Lorpaiboon, Chatipat, et al.
Published: (2025)
Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
by: Al-Jazzazi, Yousef, et al.
Published: (2025)
by: Al-Jazzazi, Yousef, et al.
Published: (2025)
Coupling without Communication and Drafter-Invariant Speculative Decoding
by: Daliri, Majid, et al.
Published: (2024)
by: Daliri, Majid, et al.
Published: (2024)
Dependency-aware Maximum Likelihood Estimation for Active Learning
by: Kalkanli, Beyza, et al.
Published: (2025)
by: Kalkanli, Beyza, et al.
Published: (2025)
Private Adaptive Covariance Estimation via Gaussian Graphical Models
by: Ferrando, Cecilia, et al.
Published: (2026)
by: Ferrando, Cecilia, et al.
Published: (2026)
Real-time Win Probability and Latent Player Ability via STATS X in Team Sports
by: Shimizu, Yasutaka, et al.
Published: (2026)
by: Shimizu, Yasutaka, et al.
Published: (2026)
Nonlinear Assimilation via Score-based Sequential Langevin Sampling
by: Ding, Zhao, et al.
Published: (2024)
by: Ding, Zhao, et al.
Published: (2024)
An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets
by: Lu, Po-Yi, et al.
Published: (2023)
by: Lu, Po-Yi, et al.
Published: (2023)
Improved Particle Approximation Error for Mean Field Neural Networks
by: Nitanda, Atsushi
Published: (2024)
by: Nitanda, Atsushi
Published: (2024)
Learning with Posterior Sampling for Revenue Management under Time-varying Demand
by: Shimizu, Kazuma, et al.
Published: (2024)
by: Shimizu, Kazuma, et al.
Published: (2024)
Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration
by: Ballinari, Daniele, et al.
Published: (2024)
by: Ballinari, Daniele, et al.
Published: (2024)
Geometric Data Valuation via Leverage Scores
by: Mendoza-Smith, Rodrigo
Published: (2025)
by: Mendoza-Smith, Rodrigo
Published: (2025)
Alternating Diffusion for Proximal Sampling with Zeroth Order Queries
by: Takagi, Hirohane, et al.
Published: (2026)
by: Takagi, Hirohane, et al.
Published: (2026)
Similar Items
-
The surprising efficiency of temporal difference learning for rare event prediction
by: Cheng, Xiaoou, et al.
Published: (2024) -
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
by: Musco, Christopher, et al.
Published: (2024) -
Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias
by: Chen, Yifan, et al.
Published: (2024) -
Agnostic Active Learning of Single Index Models with Linear Sample Complexity
by: Gajjar, Aarshvi, et al.
Published: (2024) -
Matrix Product Sketching via Coordinated Sampling
by: Daliri, Majid, et al.
Published: (2025)