Matrix-Valued Optimism is Matrix-Valued Augmentation: Additive Hybrid Designs for Constrained Optimization
Fuente:
arXiv
Saved in:
| Main Author: | Zhao, Jiayi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression
by: Tran, Khang, et al.
Published: (2025)
by: Tran, Khang, et al.
Published: (2025)
Hypothesis Testing for High-Dimensional Matrix-Valued Data
by: Cui, Shijie, et al.
Published: (2024)
by: Cui, Shijie, et al.
Published: (2024)
Introducing the O-Value: A Universal Standardization for Confusion-Matrix-Based Classification Performance Metrics
by: Zhao, Ningsheng, et al.
Published: (2025)
by: Zhao, Ningsheng, et al.
Published: (2025)
Constrained Policy Optimization with Cantelli-Bounded Value-at-Risk
by: Tangri, Rohan, et al.
Published: (2026)
by: Tangri, Rohan, et al.
Published: (2026)
Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
by: Oh, Seungyeon, et al.
Published: (2025)
by: Oh, Seungyeon, et al.
Published: (2025)
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
by: Rozada, Sergio, et al.
Published: (2022)
by: Rozada, Sergio, et al.
Published: (2022)
Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation
by: Zhao, Junkai, et al.
Published: (2024)
by: Zhao, Junkai, et al.
Published: (2024)
Evaluating Singular Value Thresholds for DNN Weight Matrices based on Random Matrix Theory
by: Nishikawa, Kohei, et al.
Published: (2025)
by: Nishikawa, Kohei, et al.
Published: (2025)
Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
by: Roy, Hrittik, et al.
Published: (2025)
by: Roy, Hrittik, et al.
Published: (2025)
Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback
by: Lin, Shishen
Published: (2025)
by: Lin, Shishen
Published: (2025)
Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data
by: Ruiter, Skyler, et al.
Published: (2023)
by: Ruiter, Skyler, et al.
Published: (2023)
Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters
by: Yukhimchuk, Alexander, et al.
Published: (2026)
by: Yukhimchuk, Alexander, et al.
Published: (2026)
Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data
by: Tugnait, Jitendra K
Published: (2024)
by: Tugnait, Jitendra K
Published: (2024)
Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting
by: Tian, Wan, et al.
Published: (2025)
by: Tian, Wan, et al.
Published: (2025)
Small Singular Values Matter: A Random Matrix Analysis of Transformer Models
by: Staats, Max, et al.
Published: (2024)
by: Staats, Max, et al.
Published: (2024)
Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative Values
by: Green, Dylan, et al.
Published: (2023)
by: Green, Dylan, et al.
Published: (2023)
Interpretable Generalized Additive Models for Datasets with Missing Values
by: McTavish, Hayden, et al.
Published: (2024)
by: McTavish, Hayden, et al.
Published: (2024)
M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
by: Mishra, Mayank, et al.
Published: (2026)
by: Mishra, Mayank, et al.
Published: (2026)
Pretrain Value, Not Reward: Decoupled Value Policy Optimization
by: Huang, Chenghua, et al.
Published: (2025)
by: Huang, Chenghua, et al.
Published: (2025)
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
by: Bai, Zhiwei, et al.
Published: (2024)
by: Bai, Zhiwei, et al.
Published: (2024)
The Value of Information in Resource-Constrained Pricing
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
by: Enouen, James, et al.
Published: (2025)
by: Enouen, James, et al.
Published: (2025)
Riemannian Optimization on Relaxed Indicator Matrix Manifold
by: Yuan, Jinghui, et al.
Published: (2025)
by: Yuan, Jinghui, et al.
Published: (2025)
What Really Matters in Matrix-Whitening Optimizers?
by: Frans, Kevin, et al.
Published: (2025)
by: Frans, Kevin, et al.
Published: (2025)
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
by: Ebrahimi, Seyedeh Fatemeh, et al.
Published: (2025)
by: Ebrahimi, Seyedeh Fatemeh, et al.
Published: (2025)
Precedence-Constrained Winter Value for Effective Graph Data Valuation
by: Chi, Hongliang, et al.
Published: (2024)
by: Chi, Hongliang, et al.
Published: (2024)
Active Value Querying to Minimize Additive Error in Subadditive Set Function Learning
by: Černý, Martin, et al.
Published: (2026)
by: Černý, Martin, et al.
Published: (2026)
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
by: Zhai, Zheng, et al.
Published: (2024)
by: Zhai, Zheng, et al.
Published: (2024)
Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery
by: Emedom-Nnamdi, Patrick, et al.
Published: (2023)
by: Emedom-Nnamdi, Patrick, et al.
Published: (2023)
Federated Binary Matrix Factorization using Proximal Optimization
by: Dalleiger, Sebastian, et al.
Published: (2024)
by: Dalleiger, Sebastian, et al.
Published: (2024)
Shapley Value Approximation Based on k-Additive Games
by: Pelegrina, Guilherme Dean, et al.
Published: (2025)
by: Pelegrina, Guilherme Dean, et al.
Published: (2025)
Directional Optimism for Safe Linear Bandits
by: Hutchinson, Spencer, et al.
Published: (2023)
by: Hutchinson, Spencer, et al.
Published: (2023)
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm
by: Yao, Wei, et al.
Published: (2024)
by: Yao, Wei, et al.
Published: (2024)
Tailed Low-Rank Matrix Factorization for Similarity Matrix Completion
by: Ma, Changyi, et al.
Published: (2024)
by: Ma, Changyi, et al.
Published: (2024)
Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
by: Kuroki, Kyo, et al.
Published: (2025)
by: Kuroki, Kyo, et al.
Published: (2025)
Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism
by: Patitucci, Francisco, et al.
Published: (2025)
by: Patitucci, Francisco, et al.
Published: (2025)
COMPOT: Calibration-Optimized Matrix Procrustes Orthogonalization for Transformers Compression
by: Makhov, Denis, et al.
Published: (2026)
by: Makhov, Denis, et al.
Published: (2026)
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer
by: Yuan, Jinghui, et al.
Published: (2026)
by: Yuan, Jinghui, et al.
Published: (2026)
Optimizing the Adversarial Perturbation with a Momentum-based Adaptive Matrix
by: Tao, Wei, et al.
Published: (2025)
by: Tao, Wei, et al.
Published: (2025)
LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection Layers
by: Tang, Sunbochen, et al.
Published: (2026)
by: Tang, Sunbochen, et al.
Published: (2026)
Similar Items
-
MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression
by: Tran, Khang, et al.
Published: (2025) -
Hypothesis Testing for High-Dimensional Matrix-Valued Data
by: Cui, Shijie, et al.
Published: (2024) -
Introducing the O-Value: A Universal Standardization for Confusion-Matrix-Based Classification Performance Metrics
by: Zhao, Ningsheng, et al.
Published: (2025) -
Constrained Policy Optimization with Cantelli-Bounded Value-at-Risk
by: Tangri, Rohan, et al.
Published: (2026) -
Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
by: Oh, Seungyeon, et al.
Published: (2025)