Saved in:
| Main Author: | Yadav, Vineet |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.19721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Clustering Change Sign Detection by Fusing Mixture Complexity
by: Urano, Kento, et al.
Published: (2024)
by: Urano, Kento, et al.
Published: (2024)
Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
by: Yue, Yiyang, et al.
Published: (2026)
by: Yue, Yiyang, et al.
Published: (2026)
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025)
by: Gilani, Atefeh, et al.
Published: (2025)
Batched Kernelized Bandits: Refinements and Extensions
by: Ma, Chenkai, et al.
Published: (2026)
by: Ma, Chenkai, et al.
Published: (2026)
Lower Bounds for Time-Varying Kernelized Bandits
by: Cai, Xu, et al.
Published: (2024)
by: Cai, Xu, et al.
Published: (2024)
GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
by: Wang, Weiqi, et al.
Published: (2026)
by: Wang, Weiqi, et al.
Published: (2026)
Regret Bounds for Noise-Free Cascaded Kernelized Bandits
by: Li, Zihan, et al.
Published: (2022)
by: Li, Zihan, et al.
Published: (2022)
Irregular Sampling of High-Dimensional Functions in Reproducing Kernel Hilbert Spaces
by: Iske, Armin, et al.
Published: (2025)
by: Iske, Armin, et al.
Published: (2025)
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)
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning
by: Hamzi, Boumediene, et al.
Published: (2023)
by: Hamzi, Boumediene, et al.
Published: (2023)
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
by: Hebbar, S Ashwin, et al.
Published: (2024)
by: Hebbar, S Ashwin, et al.
Published: (2024)
High-dimensional Clustering and Signal Recovery under Block Signals
by: Su, Wu, et al.
Published: (2025)
by: Su, Wu, et al.
Published: (2025)
Beam-aware Kernelized Contextual Bandits for User Association and Beamforming in mmWave Vehicular Networks
by: He, Xiaoyang, et al.
Published: (2026)
by: He, Xiaoyang, et al.
Published: (2026)
Two-Dimensional Quantization for Geometry-Aware Audio Coding
by: Shuster, Tal, et al.
Published: (2025)
by: Shuster, Tal, et al.
Published: (2025)
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy
by: Nelson, Kenric, et al.
Published: (2025)
by: Nelson, Kenric, et al.
Published: (2025)
Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training
by: Wang, Yuanyi, et al.
Published: (2026)
by: Wang, Yuanyi, et al.
Published: (2026)
Optimizing Wireless Discontinuous Reception via MAC Signaling Learning
by: Pastore, Adriano, et al.
Published: (2024)
by: Pastore, Adriano, et al.
Published: (2024)
Bridging Distance and Spectral Positional Encodings via Anchor-Based Diffusion Geometry Approximation
by: Yan, Zimo, et al.
Published: (2026)
by: Yan, Zimo, et al.
Published: (2026)
Simple Convergence Proof of Adam From a Sign-like Descent Perspective
by: Peng, Hanyang, et al.
Published: (2025)
by: Peng, Hanyang, et al.
Published: (2025)
Neural Weight Norm = Kolmogorov Complexity
by: Musat, Tiberiu
Published: (2026)
by: Musat, Tiberiu
Published: (2026)
Learning Transfer Operators by Kernel Density Estimation
by: Surasinghe, Sudam, et al.
Published: (2022)
by: Surasinghe, Sudam, et al.
Published: (2022)
Conformal Transformation of Kernels: A Geometric Perspective on Text Classification
by: Rădulescu, Ioana, et al.
Published: (2024)
by: Rădulescu, Ioana, et al.
Published: (2024)
Measuring the Predictability of Recommender Systems using Structural Complexity Metrics
by: Abeliuk, Andrés, et al.
Published: (2024)
by: Abeliuk, Andrés, et al.
Published: (2024)
Locally Private Parametric Methods for Change-Point Detection
by: Yadav, Anuj Kumar, et al.
Published: (2026)
by: Yadav, Anuj Kumar, et al.
Published: (2026)
The Sample Complexity of Simple Binary Hypothesis Testing
by: Pensia, Ankit, et al.
Published: (2024)
by: Pensia, Ankit, et al.
Published: (2024)
On the Sample Complexity of Robust Binary Hypothesis Testing
by: Vallinayagam, Shankar, et al.
Published: (2026)
by: Vallinayagam, Shankar, et al.
Published: (2026)
Quantum Geometry insights in Deep Learning
by: Combe, Noémie C.
Published: (2025)
by: Combe, Noémie C.
Published: (2025)
Quantization of Ricci Curvature in Information Geometry
by: Rodriguez, Carlos C.
Published: (2026)
by: Rodriguez, Carlos C.
Published: (2026)
Geometry, Computation, and Optimality in Stochastic Optimization
by: Cheng, Chen, et al.
Published: (2019)
by: Cheng, Chen, et al.
Published: (2019)
Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval
by: Suzuki, Kei, et al.
Published: (2022)
by: Suzuki, Kei, et al.
Published: (2022)
Cost-Aware Optimal Pairwise Pure Exploration
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Unified Error Correction Code Transformer with Low Complexity
by: Yan, Yongli, et al.
Published: (2024)
by: Yan, Yongli, et al.
Published: (2024)
Can Kernel Methods Explain How the Data Affects Neural Collapse?
by: Kothapalli, Vignesh, et al.
Published: (2024)
by: Kothapalli, Vignesh, et al.
Published: (2024)
Structured Sampling for Robust Euclidean Distance Geometry
by: Kundu, Chandra, et al.
Published: (2024)
by: Kundu, Chandra, et al.
Published: (2024)
Complexity as Advantage: A Regret-Based Perspective on Emergent Structure
by: Naparstek, Oshri
Published: (2025)
by: Naparstek, Oshri
Published: (2025)
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
by: Rajaraman, Nived, et al.
Published: (2023)
by: Rajaraman, Nived, et al.
Published: (2023)
How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models
by: Seddik, Mohamed El Amine
Published: (2026)
by: Seddik, Mohamed El Amine
Published: (2026)
The Geometric Cost of Normalization: Affine Bounds on the Bayesian Complexity of Neural Networks
by: Chun, Sungbae
Published: (2026)
by: Chun, Sungbae
Published: (2026)
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
by: Lau, Ivan, et al.
Published: (2025)
by: Lau, Ivan, et al.
Published: (2025)
Decentralized Fairness Aware Multi Task Federated Learning for VR Network
by: Tharakan, Krishnendu S., et al.
Published: (2025)
by: Tharakan, Krishnendu S., et al.
Published: (2025)
Similar Items
-
Clustering Change Sign Detection by Fusing Mixture Complexity
by: Urano, Kento, et al.
Published: (2024) -
Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
by: Yue, Yiyang, et al.
Published: (2026) -
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025) -
Batched Kernelized Bandits: Refinements and Extensions
by: Ma, Chenkai, et al.
Published: (2026) -
Lower Bounds for Time-Varying Kernelized Bandits
by: Cai, Xu, et al.
Published: (2024)