Saved in:
| Main Authors: | Yuan, Xinzhe, de Vazelhes, William, Gu, Bin, Xiong, Huan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.18035 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
by: Paulus, Anselm, et al.
Published: (2025)
by: Paulus, Anselm, et al.
Published: (2025)
Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers
by: Yuan, Xinzhe, et al.
Published: (2026)
by: Yuan, Xinzhe, et al.
Published: (2026)
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
by: Yuan, Xinzhe, et al.
Published: (2026)
by: Yuan, Xinzhe, et al.
Published: (2026)
Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
by: Fan, Donney, et al.
Published: (2026)
by: Fan, Donney, et al.
Published: (2026)
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026)
by: Schneider, Jesse, et al.
Published: (2026)
Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
by: Bartz-Beielstein, Thomas, et al.
Published: (2025)
by: Bartz-Beielstein, Thomas, et al.
Published: (2025)
Towards Systematic Generalization for Power Grid Optimization Problems
by: Memon, Zeeshan, et al.
Published: (2026)
by: Memon, Zeeshan, et al.
Published: (2026)
Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
by: Ma, Chen, et al.
Published: (2025)
by: Ma, Chen, et al.
Published: (2025)
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
by: Jiang, Shuai, et al.
Published: (2026)
by: Jiang, Shuai, et al.
Published: (2026)
Training Language Models to Use Prolog as a Tool
by: Mellgren, Niklas, et al.
Published: (2025)
by: Mellgren, Niklas, et al.
Published: (2025)
Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes
by: Bartz-Beielstein, Thomas, et al.
Published: (2024)
by: Bartz-Beielstein, Thomas, et al.
Published: (2024)
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI
by: Bartz-Beielstein, Thomas
Published: (2024)
by: Bartz-Beielstein, Thomas
Published: (2024)
A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks
by: Felizardo, Leonardo Kanashiro, et al.
Published: (2025)
by: Felizardo, Leonardo Kanashiro, et al.
Published: (2025)
The Non-Linearity Perturbation Threshold: Width Scaling and Landscape Bifurcations in Deep Learning
by: Alexander, Michael
Published: (2026)
by: Alexander, Michael
Published: (2026)
Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
by: Romero, Angel, et al.
Published: (2023)
by: Romero, Angel, et al.
Published: (2023)
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
by: Xu, Xinjie, et al.
Published: (2025)
by: Xu, Xinjie, et al.
Published: (2025)
FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection
by: Singh, Devender, et al.
Published: (2026)
by: Singh, Devender, et al.
Published: (2026)
Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions
by: Bartz-Beielstein, Thomas
Published: (2025)
by: Bartz-Beielstein, Thomas
Published: (2025)
Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
by: Krajewska, Antonina, et al.
Published: (2024)
by: Krajewska, Antonina, et al.
Published: (2024)
The Affine Divergence: Aligning Activation Updates Beyond Normalisation
by: Bird, George
Published: (2025)
by: Bird, George
Published: (2025)
Convex Optimization for Alignment and Preference Learning on a Single GPU
by: Feng, Miria, et al.
Published: (2026)
by: Feng, Miria, et al.
Published: (2026)
Reliability of Single-Level Equality-Constrained Inverse Optimal Control
by: Bečanović, Filip, et al.
Published: (2025)
by: Bečanović, Filip, et al.
Published: (2025)
Teacher-Student Guided Inverse Modeling for Steel Final Hardness Estimation
by: Alsheikh, Ahmad, et al.
Published: (2025)
by: Alsheikh, Ahmad, et al.
Published: (2025)
Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures
by: Ghosh, Sucheta, et al.
Published: (2026)
by: Ghosh, Sucheta, et al.
Published: (2026)
Learning Affine-Equivariant Proximal Operators
by: Savir, Oriel, et al.
Published: (2026)
by: Savir, Oriel, et al.
Published: (2026)
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
by: de Vazelhes, William, et al.
Published: (2022)
by: de Vazelhes, William, et al.
Published: (2022)
Gradient-enhanced PINN with residual unit for studying forward-inverse problems of variable coefficient equations
by: Zhou, Hui-Juan, et al.
Published: (2025)
by: Zhou, Hui-Juan, et al.
Published: (2025)
ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning
by: Mi, Zhendong, et al.
Published: (2025)
by: Mi, Zhendong, et al.
Published: (2025)
Theoretical Framework for Tempered Fractional Gradient Descent: Application to Breast Cancer Classification
by: Naifar, Omar
Published: (2025)
by: Naifar, Omar
Published: (2025)
Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)
by: Khorasani, Sadegh, et al.
Published: (2025)
Gradient descent provably escapes saddle points in the training of shallow ReLU networks
by: Cheridito, Patrick, et al.
Published: (2022)
by: Cheridito, Patrick, et al.
Published: (2022)
IGT-OMD: Implicit Gradient Transport for Decision-Focused Learning under Delayed Feedback
by: Amoh, Benjamin, et al.
Published: (2026)
by: Amoh, Benjamin, et al.
Published: (2026)
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)
by: Tang, Wenjie, et al.
Published: (2026)
Multi-market value-stacking: Battery control for combined imbalance participation and non-uniform FCR bidding
by: Hendrickx, Celle, et al.
Published: (2026)
by: Hendrickx, Celle, et al.
Published: (2026)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy
by: Sao, Piyush
Published: (2026)
by: Sao, Piyush
Published: (2026)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
Mitigating Hallucinations in Zero-Shot Scientific Summarisation: A Pilot Study
by: Jaaouine, Imane, et al.
Published: (2025)
by: Jaaouine, Imane, et al.
Published: (2025)
Context-dependent manifold learning: A neuromodulated constrained autoencoder approach
by: Adriaens, Jérôme, et al.
Published: (2026)
by: Adriaens, Jérôme, et al.
Published: (2026)
Similar Items
-
Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
by: Paulus, Anselm, et al.
Published: (2025) -
Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers
by: Yuan, Xinzhe, et al.
Published: (2026) -
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
by: Yuan, Xinzhe, et al.
Published: (2026) -
Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
by: Fan, Donney, et al.
Published: (2026) -
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026)