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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)

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks ICLR 2025 K-order Ranking Preference Optimization for Large Language Models ACL 2025 KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025 KRR: Efficient and Scalable Kernel Record Replay OSDI 2025 K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025 KurTail : Kurtosis-based LLM Quantization EMNLP 2025 KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding ACL 2025 L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning ICML 2025 L3Ms — Lagrange Large Language Models ICLR 2025 Label Augmented Dataset Distillation WACV 2025 Label Calibration in Source Free Domain Adaptation WACV 2025 Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations WACV 2025 Laboring on less labors: RPCA Paradigm for Pan-sharpening ICCV 2025 LaCoOT: Layer Collapse through Optimal Transport ICCV 2025 Ladder: A Convergence-based Structured DAG Blockchain for High Throughput and Low Latency NSDI 2025 LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering ACL 2025 Lambda-Skip Connections: the architectural component that prevents Rank Collapse ICLR 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement ICLR 2025 LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ACL 2025 LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace ICLR 2025 Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025 Language-Based Bayesian Optimization Research Assistant (BORA) IJCAI 2025 Language Fusion for Parameter-Efficient Cross-lingual Transfer ACL 2025 Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly EMNLP 2025 Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025