Cover Image

Scalable Nested Optimization for Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lorraine, Jonathan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing Optimization and Control 68T05 I.2.6; I.2.8; I.5.1; G.1.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spiking Neural Network Architecture Search: A Survey
by: Svoboda, Kama, et al.
Published: (2025)

TOPSIS-like metaheuristic for LABS problem
by: Urbańczyk, Aleksandra, et al.
Published: (2025)

Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)

On Divergence Measures for Training GFlowNets
by: da Silva, Tiago, et al.
Published: (2024)

Sequential, Parallel and Consecutive Hybrid Evolutionary-Swarm Optimization Metaheuristics
by: Urbańczyk, Piotr, et al.
Published: (2025)

A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization
by: Kim, Chul, et al.
Published: (2025)

Predicting Future Actions of Reinforcement Learning Agents
by: Chung, Stephen, et al.
Published: (2024)

Deep Policy Iteration with Integer Programming for Inventory Management
by: Harsha, Pavithra, et al.
Published: (2021)

Improving Hyperparameter Optimization with Checkpointed Model Weights
by: Mehta, Nikhil, et al.
Published: (2024)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)

Anarchy in the swarm: Testing informed and uninformed diversity-enhancing mechanisms within PSO framework
by: Urbańczyk, Piotr, et al.
Published: (2026)

FDQN: A Flexible Deep Q-Network Framework for Game Automation
by: Gujavarthy, Prabhath Reddy
Published: (2024)

Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
by: Rottenwalter, Georg, et al.
Published: (2025)

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
by: Priezzhev, I. I., et al.
Published: (2025)

Advancements in synthetic data extraction for industrial injection molding
by: Rottenwalter, Georg, et al.
Published: (2025)

Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
by: Urbańczyk, Aleksandra, et al.
Published: (2025)

On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers
by: Štrupl, Miroslav, et al.
Published: (2025)

Accelerating Evolution: Integrating PSO Principles into Real-Coded Genetic Algorithm Crossover
by: Jin, Xiaobo, et al.
Published: (2025)

Is Selection All You Need in Differential Evolution?
by: Kitamura, Tomofumi, et al.
Published: (2025)

CellARC: Measuring Intelligence with Cellular Automata
by: Lžičař, Miroslav
Published: (2025)

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
by: Caspari, Adrian, et al.
Published: (2025)

A Survey of Reinforcement Learning for Optimization in Automation
by: Farooq, Ahmad, et al.
Published: (2025)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
by: Gayler, Ross W.
Published: (2004)

NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)

Amazon Locker Capacity Management
by: Sethuraman, Samyukta, et al.
Published: (2023)

Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing
by: Sharma, Paras
Published: (2026)

Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models
by: DiGiugno, Andrew, et al.
Published: (2025)

Towards Systematic Generalization for Power Grid Optimization Problems
by: Memon, Zeeshan, et al.
Published: (2026)

CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models
by: Bömer, Thomas, et al.
Published: (2026)

Theoretical Analysis of the Advantage of Deepening Neural Networks
by: Esaki, Yasushi, et al.
Published: (2020)

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
by: Geglio, Anthony, et al.
Published: (2022)

Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025)

Adaptive Negative Scheduling for Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2026)

Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
by: Nowotny, Thomas, et al.
Published: (2022)

JacNet: Learning Functions with Structured Jacobians
by: Lorraine, Jonathan, et al.
Published: (2024)

QUASAR: An Evolutionary Algorithm to Accelerate High-Dimensional Numerical Optimization
by: Soltes, Julian G.
Published: (2025)

Quadratic Surrogate Attractor for Particle Swarm Optimization
by: Clemente, Maurizio, et al.
Published: (2026)

The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
by: Karn, Isha, et al.
Published: (2025)

Evading Overlapping Community Detection via Proxy Node Injection
by: Loi, Dario, et al.
Published: (2025)

Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
by: Qin, Jiahao
Published: (2026)