Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
Preference Robustness for DPO with Applications to Public Health
AAAI 2026
Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
AAAI 2026
Towards Provably Unlearnable Examples via Bayes Error Optimization
AAAI 2026
Best-Effort Policies for Robust Markov Decision Processes
AAAI 2026
Probabilistic Hierarchical Goal Network Planning with UCT
AAAI 2026
Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services
AAAI 2026
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
AAAI 2026
Efficient Solution and Learning of Robust Factored MDPs
AAAI 2026
Online Robust Planning Under Model Uncertainty: A Sample-Based Approach
AAAI 2026
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation
AAAI 2026
Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies
AAAI 2026
Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach
AAAI 2026
Targeting in Multi-Criteria Decision Making
AAAI 2026
Robust Causal Discovery Under Imperfect Structural Constraints
AAAI 2026
A Fast Heuristic Search Approach for Energy-Optimal Profile Routing for Electric Vehicles
AAAI 2026
Minimum-Cost Network Flow with Dual Predictions
AAAI 2026
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2026
Massively Parallel Proof-Number Search for Impartial Games and Beyond
AAAI 2026
Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA
AAAI 2026
MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework
AAAI 2026
LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data
AAAI 2026
Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization
AAAI 2026
Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis
AAAI 2026
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
AAAI 2026
Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
AAAI 2026
<
1
…
4
5
6
…
569
>