Simple and near-optimal algorithms for hidden stratification and multi-group learning
Fuente:
arXiv
Saved in:
| Main Authors: | Tosh, Christopher, Hsu, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Group-wise oracle-efficient algorithms for online multi-group learning
by: Deng, Samuel, et al.
Published: (2024)
by: Deng, Samuel, et al.
Published: (2024)
Group-realizable multi-group learning by minimizing empirical risk
by: Ardeshir, Navid, et al.
Published: (2026)
by: Ardeshir, Navid, et al.
Published: (2026)
Towards minimax optimal algorithms for Active Simple Hypothesis Testing
by: Vijayan, Sushant
Published: (2025)
by: Vijayan, Sushant
Published: (2025)
Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
by: Zhang, Rui, et al.
Published: (2025)
by: Zhang, Rui, et al.
Published: (2025)
The challenge of hidden gifts in multi-agent reinforcement learning
by: Malenfant, Dane, et al.
Published: (2025)
by: Malenfant, Dane, et al.
Published: (2025)
MNL-Bandit with Knapsacks: a near-optimal algorithm
by: Aznag, Abdellah, et al.
Published: (2021)
by: Aznag, Abdellah, et al.
Published: (2021)
Hybrid quantum-classical algorithm for near-optimal planning in POMDPs
by: Cunha, Gilberto, et al.
Published: (2025)
by: Cunha, Gilberto, et al.
Published: (2025)
Multi-group Learning for Hierarchical Groups
by: Deng, Samuel, et al.
Published: (2024)
by: Deng, Samuel, et al.
Published: (2024)
What do near-optimal learning rate schedules look like?
by: Naganuma, Hiroki, et al.
Published: (2026)
by: Naganuma, Hiroki, et al.
Published: (2026)
Adaptive multi-fidelity optimization with fast learning rates
by: Fiegel, Come, et al.
Published: (2026)
by: Fiegel, Come, et al.
Published: (2026)
Survey on Algorithms for multi-index models
by: Bruna, Joan, et al.
Published: (2025)
by: Bruna, Joan, et al.
Published: (2025)
An active learning framework for multi-group mean estimation
by: Aznag, Abdellah, et al.
Published: (2025)
by: Aznag, Abdellah, et al.
Published: (2025)
The hidden risks of temporal resampling in clinical reinforcement learning
by: Frost, Thomas, et al.
Published: (2026)
by: Frost, Thomas, et al.
Published: (2026)
Universal hidden monotonic trend estimation with contrastive learning
by: Pineau, Edouard, et al.
Published: (2022)
by: Pineau, Edouard, et al.
Published: (2022)
Simple algorithms to test and learn local Hamiltonians
by: Gutiérrez, Francisco Escudero
Published: (2024)
by: Gutiérrez, Francisco Escudero
Published: (2024)
Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning
by: Minh, Nguyen Anh, et al.
Published: (2024)
by: Minh, Nguyen Anh, et al.
Published: (2024)
Surrogate-based optimization of system architectures subject to hidden constraints
by: Bussemaker, Jasper, et al.
Published: (2025)
by: Bussemaker, Jasper, et al.
Published: (2025)
A method of supervised learning from conflicting data with hidden contexts
by: Zhang, Tianren, et al.
Published: (2021)
by: Zhang, Tianren, et al.
Published: (2021)
Shallow diffusion networks provably learn hidden low-dimensional structure
by: Boffi, Nicholas M., et al.
Published: (2024)
by: Boffi, Nicholas M., et al.
Published: (2024)
MatrixNet: Learning over symmetry groups using learned group representations
by: Laird, Lucas, et al.
Published: (2025)
by: Laird, Lucas, et al.
Published: (2025)
Early learning of the optimal constant solution in neural networks and humans
by: Rubruck, Jirko, et al.
Published: (2024)
by: Rubruck, Jirko, et al.
Published: (2024)
Rate-optimal community detection near the KS threshold via node-robust algorithms
by: Ding, Jingqiu, et al.
Published: (2025)
by: Ding, Jingqiu, et al.
Published: (2025)
Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments
by: Anton, Oliver, et al.
Published: (2023)
by: Anton, Oliver, et al.
Published: (2023)
Optimal rates for density and mode estimation with expand-and-sparsify representations
by: Sinha, Kaushik, et al.
Published: (2026)
by: Sinha, Kaushik, et al.
Published: (2026)
Treatment response as a latent variable
by: Tosh, Christopher, et al.
Published: (2025)
by: Tosh, Christopher, et al.
Published: (2025)
Addressing the Cold-Start Problem for Personalized Combination Drug Screening
by: de Mathelin, Antoine, et al.
Published: (2025)
by: de Mathelin, Antoine, et al.
Published: (2025)
Deep Q-Network (DQN) multi-agent reinforcement learning (MARL) for Stock Trading
by: Tidwell, John Christopher, et al.
Published: (2025)
by: Tidwell, John Christopher, et al.
Published: (2025)
Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection
by: Cattelani, Luca, et al.
Published: (2023)
by: Cattelani, Luca, et al.
Published: (2023)
A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
by: Sun, Ruoyu, et al.
Published: (2025)
by: Sun, Ruoyu, et al.
Published: (2025)
Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions
by: Keup, Christian, et al.
Published: (2024)
by: Keup, Christian, et al.
Published: (2024)
How to sketch a learning algorithm
by: Gunn, Sam
Published: (2026)
by: Gunn, Sam
Published: (2026)
Lower bounds for one-layer transformers that compute parity
by: Hsu, Daniel
Published: (2026)
by: Hsu, Daniel
Published: (2026)
Q-MARL: A quantum-inspired algorithm using neural message passing for large-scale multi-agent reinforcement learning
by: Vo, Kha, et al.
Published: (2025)
by: Vo, Kha, et al.
Published: (2025)
Training speedups via batching for geometric learning: an analysis of static and dynamic algorithms
by: Speckhard, Daniel T., et al.
Published: (2025)
by: Speckhard, Daniel T., et al.
Published: (2025)
Simple Linear Neuron Boosting
by: Munoz, Daniel
Published: (2025)
by: Munoz, Daniel
Published: (2025)
Simple online learning with consistent oracle
by: Kozachinskiy, Alexander, et al.
Published: (2023)
by: Kozachinskiy, Alexander, et al.
Published: (2023)
Uncovering mesa-optimization algorithms in Transformers
by: von Oswald, Johannes, et al.
Published: (2023)
by: von Oswald, Johannes, et al.
Published: (2023)
Population stratification for prediction of mortality in post-AKI patients
by: da Silva, Flavio S. Correa, et al.
Published: (2024)
by: da Silva, Flavio S. Correa, et al.
Published: (2024)
Fundamentals of quantum Boltzmann machine learning with visible and hidden units
by: Wilde, Mark M.
Published: (2025)
by: Wilde, Mark M.
Published: (2025)
Factor-MCLS: Multi-agent learning system with reward factor matrix and multi-critic framework for dynamic portfolio optimization
by: Sun, Ruoyu, et al.
Published: (2025)
by: Sun, Ruoyu, et al.
Published: (2025)
Similar Items
-
Group-wise oracle-efficient algorithms for online multi-group learning
by: Deng, Samuel, et al.
Published: (2024) -
Group-realizable multi-group learning by minimizing empirical risk
by: Ardeshir, Navid, et al.
Published: (2026) -
Towards minimax optimal algorithms for Active Simple Hypothesis Testing
by: Vijayan, Sushant
Published: (2025) -
Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
by: Zhang, Rui, et al.
Published: (2025) -
The challenge of hidden gifts in multi-agent reinforcement learning
by: Malenfant, Dane, et al.
Published: (2025)