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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Finite Sample Identification of Partially Observed Bilinear Dynamical Systems L4DC 2025 Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking ACL 2025 Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning IJCAI 2025 Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning ICML 2025 FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems CVPR 2025 FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025 FIRM: Fusion-Injected Residual Memory Brings Token-Level Alignment to Unsupervised VI-ReID ACML 2025 FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction EMNLP 2025 First-Order Federated Bilevel Learning AAAI 2025 Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator ICML 2025 FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain ICML 2025 FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation CVPR 2025 FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025 Fitting Networks with a Cancellation Trick ICLR 2025 FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation MLHC 2025 Fixed-Confidence Multiple Change Point Identification under Bandit Feedback ICML 2025 Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function ICML 2025 Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification ICML 2025 FlagEval-Arena: A Side-by-Side Comparative Evaluation Platform for Large Language Models and Text-Driven AIGC ACL 2025 FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series EMNLP 2025 Flashback: Memory Mechanism for Enhancing Memory Efficiency and Speed in Deep Sequential Models COLING 2025 Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond ICLR 2025 FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware ICLR 2025 Flatness Improves Backbone Generalisation in Few-Shot Classification WACV 2025 FlatQuant: Flatness Matters for LLM Quantization ICML 2025