Copertina

Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nakamori, Tatsuhiro, Gonzalez, Laura Gomezjurado, Talluri, Ganesh, Tiwari, Ansh, Kawashima, Hideyuki, Mitliagkas, Ioannis, Rabusseau, Guillaume, Naganuma, Hiroki
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Revisiting Generalization Measures Beyond IID: An Empirical Study under Distributional Shift
di: Nakai, Sora, et al.
Pubblicazione: (2026)

Griffin: Fast Transactional Database Index with Hash and B+-Tree
di: Nakazono, Sho, et al.
Pubblicazione: (2024)

An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
di: Naganuma, Hiroki, et al.
Pubblicazione: (2023)

Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
di: Naganuma, Hiroki, et al.
Pubblicazione: (2026)

On Fairness of Task Arithmetic: The Role of Task Vectors
di: Naganuma, Hiroki, et al.
Pubblicazione: (2025)

Shielded RecRL: Explanation Generation for Recommender Systems without Ranking Degradation
di: Tiwari, Ansh, et al.
Pubblicazione: (2025)

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior
di: Gonzalez, Laura Gomezjurado
Pubblicazione: (2026)

Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
di: Kimura, Masanari, et al.
Pubblicazione: (2024)

ATEROESCLEROSIS ASOCIADA A INFECCIÓN POR Chlamydophila pneumoniae : INTERACCIÓN ENTRE EL SER HUMANO Y UNA BACTERIA
di: Alvaro Gudiño-Gomezjurado
Pubblicazione: (2015)

Tensor Cookbook: Mastering Tensors through Diagrams
di: Rakhshan, Beheshteh T., et al.
Pubblicazione: (2026)

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
di: Heidari, Farzaneh, et al.
Pubblicazione: (2026)

Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
di: Naganuma, Hiroki, et al.
Pubblicazione: (2025)

Local Timescale Gates for Timescale-Robust Continual Spiking Neural Networks
di: Tiwari, Ansh, et al.
Pubblicazione: (2025)

Feature learning as alignment: a structural property of gradient descent in non-linear neural networks
di: Beaglehole, Daniel, et al.
Pubblicazione: (2024)

Performative Prediction with Neural Networks
di: Mofakhami, Mehrnaz, et al.
Pubblicazione: (2023)

The Role of Rank in Mismatched Low-Rank Symmetric Matrix Estimation
di: Niu, Panpan, et al.
Pubblicazione: (2025)

Outcomes of endoscopic papillectomy should be evaluated not only based on short‐term results but also long‐term prognosis
di: Hiroki Kawashima
Pubblicazione: (2025)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
di: Guille-Escuret, Charles, et al.
Pubblicazione: (2022)

Dion: Distributed Orthonormalized Updates
di: Ahn, Kwangjun, et al.
Pubblicazione: (2025)

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
di: Omranpour, Soroush, et al.
Pubblicazione: (2024)

Tractable Shapley Values and Interactions via Tensor Networks
di: Heidari, Farzaneh, et al.
Pubblicazione: (2025)

Efficient Probabilistic Tensor Networks
di: Hameed, Marawan Gamal Abdel, et al.
Pubblicazione: (2025)

KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
di: Lesens, Damien, et al.
Pubblicazione: (2025)

Higher-Order Transformers With Kronecker-Structured Attention
di: Omranpour, Soroush, et al.
Pubblicazione: (2024)

Grokking Finite-Dimensional Algebra
di: Notsawo, Pascal Jr Tikeng, et al.
Pubblicazione: (2026)

Grokking Beyond the Euclidean Norm of Model Parameters
di: Notsawo, Pascal Jr Tikeng, et al.
Pubblicazione: (2025)

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
di: Guille-Escuret, Charles, et al.
Pubblicazione: (2023)

A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond
di: Tsikouras, Nikos, et al.
Pubblicazione: (2025)

Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching
di: Akazan, Ange-Clément, et al.
Pubblicazione: (2024)

Towards efficient representation identification in supervised learning
di: Ahuja, Kartik, et al.
Pubblicazione: (2022)

Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
di: Mahajan, Divyat, et al.
Pubblicazione: (2022)

Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training
di: Shivagunde, Namrata, et al.
Pubblicazione: (2026)

Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration
di: Yoshida, Kotaro, et al.
Pubblicazione: (2024)

Regarding Diapheromera veliei Walsh and Manomera blatchleyi Caudell (Orth.: Phasmidae)
di: Caudell, Andrew Nelson
Pubblicazione: (1918)

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning
di: Geng, Xinyu, et al.
Pubblicazione: (2024)

TuneGenie: Reasoning-based LLM agents for preferential music generation
di: Pandey, Amitesh, et al.
Pubblicazione: (2025)

FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design
di: Dai, Jun, et al.
Pubblicazione: (2025)

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models
di: Rizvi-Martel, Michael, et al.
Pubblicazione: (2026)

EPO‐R: An efficient garbage collection scheme for long‐term transactions
di: Rina Onishi, et al.
Pubblicazione: (2024)

CurvaDion: Curvature-Adaptive Distributed Orthonormalization
di: Kumar, Bhavesh, et al.
Pubblicazione: (2025)