:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Kechen, Zhu, Wenqi, Cartis, Coralia, Ji, Tianbo, Liu, Shiwei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.20545
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sufficiently Regularized Nonnegative Quartic Polynomials are Sum-of-Squares
by: Zhu, Wenqi, et al.
Published: (2026)

Global Convergence of High-Order Regularization Methods with Sums-of-Squares Taylor Models
by: Zhu, Wenqi, et al.
Published: (2024)

A Parameter-Free First-Order Algorithm for Non-Convex Optimization with $\tilde{\mkern1mu O}(ε^{-5/3})$ Global Rate
by: Xiong, Sichao, et al.
Published: (2026)

Quadratic Objective Perturbation: Curvature-Based Differential Privacy
by: Cortild, Daniel, et al.
Published: (2026)

Global Optimality Characterizations and Algorithms for Minimizing Quartically-Regularized Third-Order Taylor Polynomials
by: Zhu, Wenqi, et al.
Published: (2025)

Second-order methods for quartically-regularised cubic polynomials, with applications to high-order tensor methods
by: Cartis, Coralia, et al.
Published: (2023)

On the Neural Feature Ansatz for Deep Neural Networks
by: Tansley, Edward, et al.
Published: (2025)

Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions
by: Cartis, Coralia, et al.
Published: (2025)

Enhancing Predictive Accuracy in Tennis: Integrating Fuzzy Logic and CV-GRNN for Dynamic Match Outcome and Player Momentum Analysis
by: Li, Kechen, et al.
Published: (2025)

Efficient Techniques for Data Reconstruction, with Finite-Width Recovery Guarantees
by: Tansley, Edward, et al.
Published: (2026)

Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
by: Long, Luo, et al.
Published: (2025)

Dimensionality Reduction Techniques for Global Bayesian Optimisation
by: Long, Luo, et al.
Published: (2024)

Stream of Search (SoS): Learning to Search in Language
by: Gandhi, Kanishk, et al.
Published: (2024)

Tensor-based Dinkelbach method for computing generalized tensor eigenvalues and its applications
by: Chen, Haibin, et al.
Published: (2025)

SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
by: Diakonikolas, Ilias, et al.
Published: (2024)

Sequential transport maps using SoS density estimation and $α$-divergences
by: Zanger, Benjamin, et al.
Published: (2024)

Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers
by: Pelleriti, Nico, et al.
Published: (2025)

A Globally Convergent Third-Order Newton Method via Unified Semidefinite Programming Subproblems
by: Cai, Yubo, et al.
Published: (2026)

SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More
by: Diakonikolas, Ilias, et al.
Published: (2024)

Efficient Implementation of Third-Order Tensor Methods with Adaptive Regularization for Unconstrained Optimization
by: Cartis, Coralia, et al.
Published: (2024)

On Global Rates for Regularization Methods based on Secant Derivative Approximations
by: Cartis, Coralia, et al.
Published: (2025)

Scalable Second-Order Optimization Algorithms for Minimizing Low-rank Functions
by: Tansley, Edward, et al.
Published: (2025)

Randomized Subspace Derivative-Free Optimization with Quadratic Models and Second-Order Convergence
by: Cartis, Coralia, et al.
Published: (2024)

Stochastic Krasnoselskii-Mann Iterations: Convergence without Uniformly Bounded Variance
by: Cortild, Daniel, et al.
Published: (2026)

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs
by: Liu, Zijia, et al.
Published: (2025)

Sum of Squares Circuits
by: Loconte, Lorenzo, et al.
Published: (2024)

Registration of algebraic varieties using Riemannian optimization
by: Goyens, Florentin, et al.
Published: (2024)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
by: DeepSeek-AI, et al.
Published: (2025)

TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only
by: Liu, Yilun, et al.
Published: (2026)

RM-R1: Reward Modeling as Reasoning
by: Chen, Xiusi, et al.
Published: (2025)

Strong bounds for large-scale Minimum Sum-of-Squares Clustering
by: Croella, Anna Livia, et al.
Published: (2025)

SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
by: Qiao, Zhongjian, et al.
Published: (2024)

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
by: Chen, Junying, et al.
Published: (2024)

Understanding R1-Zero-Like Training: A Critical Perspective
by: Liu, Zichen, et al.
Published: (2025)

Robust Sparse Mean Estimation via Sum of Squares
by: Diakonikolas, Ilias, et al.
Published: (2022)

FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication
by: Li, Yang, et al.
Published: (2023)

Adaptive LSQR Preconditioning from One Small Sketch
by: Huh, Jung Eun, et al.
Published: (2026)

Learning Markov Processes as Sum-of-Square Forms for Analytical Belief Propagation
by: Amorese, Peter, et al.
Published: (2026)

Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better
by: Zhao, Ji, et al.
Published: (2026)

BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model
by: Li, Yang, et al.
Published: (2023)