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Optimization

14207 directly classified papers

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Papers

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026
Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network AAAI 2026
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026
GLOBA: Rethinking Parameter Conflicts in Model Merging AAAI 2026
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026
Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training AAAI 2026
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets AAAI 2026
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026
Provably Data-Driven Projection Method for Quadratic Programming AAAI 2026
Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN AAAI 2026
Policy Newton Methods for Distortion Riskmetrics AAAI 2026
On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning AAAI 2026
How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts AAAI 2026
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution AAAI 2026
Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting AAAI 2026
Reconcile Gradient Modulation for Harmony Multimodal Learning AAAI 2026
Adaptive Momentum and EMA-weighted Modeling for Imbalanced Label Distribution Learning AAAI 2026
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026
HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks AAAI 2026
FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026
FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters AAAI 2026
LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models AAAI 2026
STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting AAAI 2026
Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance AAAI 2026
A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler AAAI 2026