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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)

DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment EMNLP 2025 Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism ICLR 2025 DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search ICLR 2025 Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint AAAI 2025 DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation ACL 2025 Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees UAI 2025 Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025 Do We Know What LLMs Don’t Know? A Study of Consistency in Knowledge Probing EMNLP 2025 Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective ICML 2025 Do Your Best and Get Enough Rest for Continual Learning CVPR 2025 DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle ICLR 2025 DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters COLING 2025 DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation ACL 2025 DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization ACL 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF ICML 2025 Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation EMNLP 2025 D-RAG: Differentiable Retrieval-Augmented Generation for Knowledge Graph Question Answering EMNLP 2025 DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model ICML 2025 Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient ICLR 2025 Drawing Developmental Trajectory from Cortical Surface Reconstruction ICCV 2025 DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization EMNLP 2025 DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off EMNLP 2025 DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization ICML 2025 DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025 Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025