Saved in:
| Main Authors: | Meyer, Maxime, Michelessa, Mario, Chaux, Caroline, Tan, Vincent Y. F. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.22223 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Memory Limitations of Prompt Tuning in Transformers
by: Meyer, Maxime, et al.
Published: (2025)
by: Meyer, Maxime, et al.
Published: (2025)
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
by: Sofer, Elad, et al.
Published: (2025)
by: Sofer, Elad, et al.
Published: (2025)
Straight-Through meets Sparse Recovery: the Support Exploration Algorithm
by: Mohamed, Mimoun, et al.
Published: (2023)
by: Mohamed, Mimoun, et al.
Published: (2023)
Dissecting Linear Recurrent Models: How Different Gating Strategies Drive Selectivity and Generalization
by: Bouhadjar, Younes, et al.
Published: (2026)
by: Bouhadjar, Younes, et al.
Published: (2026)
Adversarial Combinatorial Bandits with Switching Costs
by: Dong, Yanyan, et al.
Published: (2024)
by: Dong, Yanyan, et al.
Published: (2024)
How Many Human Judgments Are Enough? Feasibility Limits of Human Preference Evaluation
by: Lee, Wilson Y.
Published: (2026)
by: Lee, Wilson Y.
Published: (2026)
Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits
by: Bian, Jie, et al.
Published: (2024)
by: Bian, Jie, et al.
Published: (2024)
Transformers Provably Learn Directed Acyclic Graphs via Kernel-Guided Mutual Information
by: Cheng, Yuan, et al.
Published: (2025)
by: Cheng, Yuan, et al.
Published: (2025)
Can Transformers Learn Full Bayesian Inference in Context?
by: Reuter, Arik, et al.
Published: (2025)
by: Reuter, Arik, et al.
Published: (2025)
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
by: Wang, Jiuqi, et al.
Published: (2024)
by: Wang, Jiuqi, et al.
Published: (2024)
Stochastic Bandits for Egalitarian Assignment
by: Lim, Eugene, et al.
Published: (2024)
by: Lim, Eugene, et al.
Published: (2024)
A Sample Efficient Alternating Minimization-based Algorithm For Robust Phase Retrieval
by: Barik, Adarsh, et al.
Published: (2024)
by: Barik, Adarsh, et al.
Published: (2024)
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent
by: Wang, Shuche, et al.
Published: (2024)
by: Wang, Shuche, et al.
Published: (2024)
Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
by: Bian, Jie, et al.
Published: (2025)
by: Bian, Jie, et al.
Published: (2025)
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks
by: Gao, Yihang, et al.
Published: (2024)
by: Gao, Yihang, et al.
Published: (2024)
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
by: Li, Jingyang, et al.
Published: (2024)
by: Li, Jingyang, et al.
Published: (2024)
Bandit Convex Optimization with Gradient Prediction Adaptivity
by: Wang, Shuche, et al.
Published: (2026)
by: Wang, Shuche, et al.
Published: (2026)
Best Arm Identification with Minimal Regret
by: Yang, Junwen, et al.
Published: (2024)
by: Yang, Junwen, et al.
Published: (2024)
Asymptotically and Minimax Optimal Regret Bounds for Multi-Armed Bandits with Abstention
by: Yang, Junwen, et al.
Published: (2024)
by: Yang, Junwen, et al.
Published: (2024)
Optimal Clustering with Bandit Feedback
by: Yang, Junwen, et al.
Published: (2022)
by: Yang, Junwen, et al.
Published: (2022)
LEARN: An Invex Loss for Outlier Oblivious Robust Online Optimization
by: Barik, Adarsh, et al.
Published: (2024)
by: Barik, Adarsh, et al.
Published: (2024)
SAMSA: Efficient Transformer for Many Data Modalities
by: Lenhat, Minh, et al.
Published: (2024)
by: Lenhat, Minh, et al.
Published: (2024)
ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations
by: Gao, Yihang, et al.
Published: (2026)
by: Gao, Yihang, et al.
Published: (2026)
How Many Features Can a Language Model Store Under the Linear Representation Hypothesis?
by: Garg, Nikhil, et al.
Published: (2026)
by: Garg, Nikhil, et al.
Published: (2026)
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
by: Chen, Zhirui, et al.
Published: (2024)
by: Chen, Zhirui, et al.
Published: (2024)
Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization
by: Gao, Yihang, et al.
Published: (2025)
by: Gao, Yihang, et al.
Published: (2025)
Output Supervision Can Obfuscate the Chain of Thought
by: Drori, Jacob, et al.
Published: (2025)
by: Drori, Jacob, et al.
Published: (2025)
Transformed Latent Variable Multi-Output Gaussian Processes
by: Jiang, Xiaoyu, et al.
Published: (2026)
by: Jiang, Xiaoyu, et al.
Published: (2026)
How Good Are LLMs at Processing Tool Outputs?
by: Kate, Kiran, et al.
Published: (2025)
by: Kate, Kiran, et al.
Published: (2025)
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
by: Gao, Yihang, et al.
Published: (2025)
by: Gao, Yihang, et al.
Published: (2025)
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad
by: Abbe, Emmanuel, et al.
Published: (2024)
by: Abbe, Emmanuel, et al.
Published: (2024)
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
by: Dwork, Cynthia, et al.
Published: (2025)
by: Dwork, Cynthia, et al.
Published: (2025)
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)
Adjusting the Output of Decision Transformer with Action Gradient
by: Lin, Rui, et al.
Published: (2025)
by: Lin, Rui, et al.
Published: (2025)
On the Benefits of Free Exploration for Regret Minimization in Multi-Armed Bandits
by: Hou, Yunlong, et al.
Published: (2026)
by: Hou, Yunlong, et al.
Published: (2026)
Finite-Time Minimax Bounds and an Optimal Lyapunov Policy in Queueing Control
by: Liu, Yujie, et al.
Published: (2025)
by: Liu, Yujie, et al.
Published: (2025)
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
by: Hou, Yunlong, et al.
Published: (2024)
by: Hou, Yunlong, et al.
Published: (2024)
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
by: Tran, Tuan Anh, et al.
Published: (2025)
by: Tran, Tuan Anh, et al.
Published: (2025)
ManiBox: Enhancing Embodied Spatial Generalization via Scalable Simulation Data Generations
by: Tan, Hengkai, et al.
Published: (2024)
by: Tan, Hengkai, et al.
Published: (2024)
Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers
by: Aggarwal, Shubham, et al.
Published: (2026)
by: Aggarwal, Shubham, et al.
Published: (2026)
Similar Items
-
Memory Limitations of Prompt Tuning in Transformers
by: Meyer, Maxime, et al.
Published: (2025) -
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
by: Sofer, Elad, et al.
Published: (2025) -
Straight-Through meets Sparse Recovery: the Support Exploration Algorithm
by: Mohamed, Mimoun, et al.
Published: (2023) -
Dissecting Linear Recurrent Models: How Different Gating Strategies Drive Selectivity and Generalization
by: Bouhadjar, Younes, et al.
Published: (2026) -
Adversarial Combinatorial Bandits with Switching Costs
by: Dong, Yanyan, et al.
Published: (2024)