← Optimization & Theory
Machine Learning › Optimization & Theory ›

Optimization

14207 directly classified papers

Papers per year

Papers

Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract) AAAI 2026
Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract) AAAI 2026
APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract) AAAI 2026
Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract) AAAI 2026
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation AAAI 2026
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026
Aligning Generative Music AI with Human Preferences: Methods and Challenges AAAI 2026
Efficient Model Specialization via Training-time and Test-time Adaptation AAAI 2026
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport (Abstract Reprint) AAAI 2026
Hypertension and Total-Order Forward Decomposition Optimizations (Abstract Reprint) AAAI 2026
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles (Abstract Reprint) AAAI 2026
CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition (Abstract Reprint) AAAI 2026
SICNav: Safe and Interactive Crowd Navigation Using Model Predictive Control and Bilevel Optimization (Abstract Reprint) AAAI 2026
Generating Streamlining Constraints with Large Language Models (Abstract Reprint) AAAI 2026
Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment AAAI 2026
SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences AAAI 2026
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF AAAI 2026
CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning AAAI 2026
Mapping on a Budget: Optimizing Spatial Data Collection for ML AAAI 2026
Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks AAAI 2026
Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model AAAI 2026
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling AAAI 2026
Budgeted Online Active Learning with Expert Advice and Episodic Priors AAAI 2026
Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting AAAI 2026
Language Models and Logic Programs for Trustworthy Tax Reasoning AAAI 2026