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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)

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection CVPR 2025 COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training ICLR 2025 CoA: Towards Real Image Dehazing via Compression-and-Adaptation CVPR 2025 CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization ICML 2025 Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion ICLR 2025 CODA: Repurposing Continuous VAEs for Discrete Tokenization ICCV 2025 CodeAnubad at BLP-2025 Task 2: Efficient Bangla-to-Python Code Generation via Iterative LoRA Fine-Tuning of Gemma-2 AACL 2025 CodeArena: A Collective Evaluation Platform for LLM Code Generation ACL 2025 CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning ICCV 2025 CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages COLING 2025 CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025 CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation ACL 2025 Co-Design of Soft Gripper with Neural Physics CoRL 2025 Code-switching Mediated Sentence-level Semantic Learning AAAI 2025 CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision ACL 2025 CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification IJCAI 2025 Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025 CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025 COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation ICLR 2025 Coherence-based Approximate Derivatives via Web of Affine Spaces Optimization RSS 2025 COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering ICML 2025 Cold Starts and Hard Cases: A Two-Stage SFT-RLVR Approach for Legal Machine Translation (Just-NLP L-MT shared task) AACL 2025 Collab: Controlled Decoding using Mixture of Agents for LLM Alignment ICLR 2025 Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models ICLR 2025 Collaborative likelihood-ratio estimation over graphs JMLR 2025