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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network Approach ICML 2025 Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach IJCAI 2025 Optimized Gradient Clipping for Noisy Label Learning AAAI 2025 Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference ICLR 2025 Optimized Random Features for the Neural Tangent Kernel (Student Abstract) AAAI 2025 Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods ICLR 2025 Optimizing Adaptive Attacks against Watermarks for Language Models ICML 2025 Optimizing Data Collection for Machine Learning JMLR 2025 Optimizing Decomposition for Optimal Claim Verification ACL 2025 Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization WACV 2025 Optimizing for the Shortest Path in Denoising Diffusion Model CVPR 2025 Optimizing Heat Alert Issuance with Reinforcement Learning AAAI 2025 Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques NAACL 2025 Optimizing importance weighting in the presence of sub-population shifts ICLR 2025 Optimizing Lifelong Fine-Tuning for Multiple Tasks via Dataless Distribution Replay COLING 2025 Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs CLeaR 2025 Optimizing Neural Network Effectiveness via Non-Monotonicity Refinement WACV 2025 Optimizing Neural Network Representations of Boolean Networks ICLR 2025 Optimizing Noise Distributions for Differential Privacy ICML 2025 Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent IJCAI 2025 Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models ACL 2025 Optimizing Reasoning for Text-to-SQL with Execution Feedback ACL 2025 Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025 Optimizing RLHF Training for Large Language Models with Stage Fusion NSDI 2025 Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design ICML 2025