Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← 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
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
AAAI 2025
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
AAAI 2025
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
AAAI 2025
Multiple Mean-Payoff Optimization Under Local Stability Constraints
AAAI 2025
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition
AAAI 2025
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
AAAI 2025
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
AAAI 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
AAAI 2025
Risk-averse Total-reward MDPs with ERM and EVaR
AAAI 2025
On Corruption-Robustness in Performative Reinforcement Learning
AAAI 2025
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
AAAI 2025
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints
AAAI 2025
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games
AAAI 2025
FedPop: Federated Population-based Hyperparameter Tuning
AAAI 2025
The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space
AAAI 2025
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
AAAI 2025
ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps
AAAI 2025
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
AAAI 2025
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
AAAI 2025
(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error
AAAI 2025
Suboptimal Search with Dynamic Distribution of Suboptimality
AAAI 2025
Scenario-Based Robust Optimization of Tree Structures
AAAI 2025
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data
AAAI 2025
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
AAAI 2025
Safe Online Convex Optimization with Heavy-Tailed Observation Noises
AAAI 2025
<
1
…
41
42
43
…
569
>