Cover Image

Generalization error of spectral algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Velikanov, Maksim, Panov, Maxim, Yarotsky, Dmitry
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SGD with memory: fundamental properties and stochastic acceleration
by: Yarotsky, Dmitry, et al.
Published: (2024)

Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions
by: Velikanov, Maksim, et al.
Published: (2022)

Learnability of high-dimensional targets by two-parameter models and gradient flow
by: Yarotsky, Dmitry
Published: (2024)

Corner Gradient Descent
by: Yarotsky, Dmitry
Published: (2025)

Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions
by: Yarotsky, Dmitry, et al.
Published: (2026)

Efficient Conformal Prediction under Data Heterogeneity
by: Plassier, Vincent, et al.
Published: (2023)

Optimal Noise Reduction in Dense Mixed-Membership Stochastic Block Models under Diverging Spiked Eigenvalues Condition
by: Noskov, Fedor, et al.
Published: (2023)

Learnable Multipliers: Freeing the Scale of Language Model Matrix Layers
by: Velikanov, Maksim, et al.
Published: (2026)

From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
by: Kotelevskii, Nikita, et al.
Published: (2024)

M3PO: Massively Multi-Task Model-Based Policy Optimization
by: Narendra, Aditya, et al.
Published: (2025)

Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
by: Rubashevskii, Aleksandr, et al.
Published: (2026)

cVLA: Towards Efficient Camera-Space VLAs
by: Argus, Max, et al.
Published: (2025)

SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement Learning
by: Oskolkov, Nikita, et al.
Published: (2025)

IDLM: Inverse-distilled Diffusion Language Models
by: Li, David, et al.
Published: (2026)

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM
by: Shvetsov, Nikolay, et al.
Published: (2026)

Adaptive Set-Mass Calibration with Conformal Prediction
by: Kazantsev, Daniil, et al.
Published: (2025)

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
by: Narendra, Aditya, et al.
Published: (2026)

Uncertainty Quantification for Regression using Proper Scoring Rules
by: Fishkov, Alexander, et al.
Published: (2025)

ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
by: Buzun, Nazar, et al.
Published: (2024)

Probabilistic Conformal Prediction with Approximate Conditional Validity
by: Plassier, Vincent, et al.
Published: (2024)

Multidimensional Uncertainty Quantification via Optimal Transport
by: Kotelevskii, Nikita, et al.
Published: (2025)

Neural Optimal Transport Meets Multivariate Conformal Prediction
by: Kondratyev, Vladimir, et al.
Published: (2025)

Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics
by: Bobrin, Maksim, et al.
Published: (2025)

DR-SNE: Density-Regularized Stochastic Neighbor Embedding
by: Kazanskii, Maksim
Published: (2026)

Align Your Intents: Offline Imitation Learning via Optimal Transport
by: Bobrin, Maksim, et al.
Published: (2024)

Model-based Policy Optimization using Symbolic World Model
by: Gorodetskiy, Andrey, et al.
Published: (2024)

Rectifying Conformity Scores for Better Conditional Coverage
by: Plassier, Vincent, et al.
Published: (2025)

Who to Trust? Aggregating Client Predictions in Federated Distillation
by: Kovalchuk, Viktor, et al.
Published: (2025)

Where Do Large Learning Rates Lead Us?
by: Sadrtdinov, Ildus, et al.
Published: (2024)

HiFi-Stream: Streaming Speech Enhancement with Generative Adversarial Networks
by: Dmitrieva, Ekaterina, et al.
Published: (2025)

Generalization of Hamiltonian algorithms
by: Maurer, Andreas
Published: (2024)

Prior Distribution and Model Confidence
by: Kazanskii, Maksim, et al.
Published: (2025)

SLIME: Stabilized Likelihood Implicit Margin Enforcement for Preference Optimization
by: Afanasyev, Maksim, et al.
Published: (2026)

Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
by: Fadeeva, Ekaterina, et al.
Published: (2025)

Accelerating Transformers in Online RL
by: Zelezetsky, Daniil, et al.
Published: (2025)

Quantum algorithms for spectral sums
by: Luongo, Alessandro, et al.
Published: (2020)

Zero-Shot Off-Policy Learning
by: Asadulaev, Arip, et al.
Published: (2026)

HOTA: Hamiltonian framework for Optimal Transport Advection
by: Buzun, Nazar, et al.
Published: (2025)

FastWave: Optimized Diffusion Model for Audio Super-Resolution
by: Kuznetsov, Nikita, et al.
Published: (2026)

Can Coding Agents Be General Agents?
by: Ivanov, Maksim, et al.
Published: (2026)