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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)

DRM Revisited: A Complete Error Analysis JMLR 2025 DRoP: Distributionally Robust Data Pruning ICLR 2025 Drop Dropout on Single Epoch Language Model Pretraining ACL 2025 Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs EMNLP 2025 Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization ICLR 2025 DROWN: Towards Tighter LiRPA-based Robustness Certification COLING 2025 DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge ICML 2025 DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models ICLR 2025 DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025 DTA: Dual Temporal-Channel-Wise Attention for Spiking Neural Networks WACV 2025 DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment EMNLP 2025 DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence ICML 2025 Dual-Balancing for Physics-Informed Neural Networks IJCAI 2025 Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant ICML 2025 DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads ICLR 2025 DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation ACL 2025 Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification AAAI 2025 Dynamical phases of short-term memory mechanisms in RNNs ICML 2025 Dynamic and Generalizable Process Reward Modeling ACL 2025 Dynamic angular synchronization under smoothness constraints JMLR 2025 Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models ACL 2025 Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification AAAI 2025 Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models JMLR 2025