:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Heidari, Alireza, Ahmadi, Amirhossein, Zhang, Wei
Format:	Preprint
Published:	2024
Subjects:	Databases Machine Learning Optimization and Control
Online Access:	https://arxiv.org/abs/2408.04113
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees
by: Heidari, Alireza, et al.
Published: (2025)

Sig2Model: A Boosting-Driven Model for Updatable Learned Indexes
by: Heidari, Alireza, et al.
Published: (2025)

FusedANN: Convexified Hybrid ANN via Attribute-Vector Fusion
by: Heidari, Alireza, et al.
Published: (2025)

Simultaneous Learning and Optimization via Misspecified Saddle Point Problems
by: Ahmadi, Mohammad Mahdi, et al.
Published: (2025)

Mathematical Foundations of Modeling ETL Process Chains
by: Maier, Levin, et al.
Published: (2026)

Causal Optimal Coupling for Gaussian Input-Output Distributional Data
by: Xu, Daran, et al.
Published: (2026)

Higher-Order Newton Methods with Polynomial Work per Iteration
by: Ahmadi, Amir Ali, et al.
Published: (2023)

Robustly Learning Monotone Single-Index Models
by: Wang, Puqian, et al.
Published: (2025)

Joint Learning in the Gaussian Single Index Model
by: Pillaud-Vivien, Loucas, et al.
Published: (2025)

Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps
by: Al-Jarrah, Mohammad, et al.
Published: (2025)

A Computational Framework for Solving Wasserstein Lagrangian Flows
by: Neklyudov, Kirill, et al.
Published: (2023)

Speeding Up Mixed-Integer Programming Solvers with Sparse Learning for Branching
by: Bayramoğlu, Selin, et al.
Published: (2026)

KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems
by: Aghaei, Alireza Afzal
Published: (2024)

Safely Learning Dynamical Systems
by: Ahmadi, Amir Ali, et al.
Published: (2023)

Nonlinear Filtering with Brenier Optimal Transport Maps
by: Al-Jarrah, Mohammad, et al.
Published: (2023)

Distributed Learning over Arbitrary Topology: Linear Speed-Up with Polynomial Transient Time
by: You, Runze, et al.
Published: (2025)

Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
by: Aghasi, Alireza, et al.
Published: (2024)

Control Theoretic Approach to Fine-Tuning and Transfer Learning
by: Bayram, Erkan, et al.
Published: (2024)

MetaHive: A Cache-Optimized Metadata Management for Heterogeneous Key-Value Stores
by: Heidari, Alireza, et al.
Published: (2024)

Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
by: Attia, Amit, et al.
Published: (2025)

Quantum Natural Stochastic Pairwise Coordinate Descent
by: Sohail, Mohammad Aamir, et al.
Published: (2024)

Conditional Sampling via Wasserstein Autoencoders and Triangular Transport
by: Al-Jarrah, Mohammad, et al.
Published: (2026)

Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach
by: Noori, Amir, et al.
Published: (2024)

Exponentially Weighted Algorithm for Online Network Resource Allocation with Long-Term Constraints
by: Sid-Ali, Ahmed, et al.
Published: (2024)

Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
by: Cheng, Nuojin, et al.
Published: (2025)

End-to-End Learning Framework for Solving Non-Markovian Optimal Control
by: Zhang, Xiaole, et al.
Published: (2025)

Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up
by: Mangold, Paul, et al.
Published: (2025)

Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
by: Wang, Guillaume, et al.
Published: (2024)

Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws
by: Wang, Jinbo, et al.
Published: (2026)

Tuning-Free Stochastic Optimization
by: Khaled, Ahmed, et al.
Published: (2024)

A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization
by: Chu, Tianshu, et al.
Published: (2025)

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
by: Taherpour, Amirhossein, et al.
Published: (2025)

An Energy-Based Self-Adaptive Learning Rate for Stochastic Gradient Descent: Enhancing Unconstrained Optimization with VAV method
by: Zhang, Jiahao, et al.
Published: (2024)

Self-Supervised Learning of Iterative Solvers for Constrained Optimization
by: Lüken, Lukas, et al.
Published: (2024)

A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning
by: Zeng, Sihan, et al.
Published: (2026)

A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
by: Huang, Yu, et al.
Published: (2024)

Where Does Warm-Up Come From? Adaptive Scheduling for Norm-Constrained Optimizers
by: Riabinin, Artem, et al.
Published: (2026)

Self-Supervised Penalty-Based Learning for Robust Constrained Optimization
by: Benslimane, Wyame, et al.
Published: (2025)

Discretized Distributed Optimization over Dynamic Digraphs
by: Doostmohammadian, Mohammadreza, et al.
Published: (2023)

Hybrid Reinforcement Learning Framework for Mixed-Variable Problems
by: Zhai, Haoyan, et al.
Published: (2024)