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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)

Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation ICLR 2025 Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML 2025 Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels CVPR 2025 Large Vocabulary Size Improves Large Language Models ACL 2025 LASER: Attention with Exponential Transformation ICML 2025 Lasso Bandit with Compatibility Condition on Optimal Arm ICLR 2025 Last-iterate Convergence in Regularized Graphon Mean Field Game AAAI 2025 Last Iterate Convergence of Incremental Methods as a Model of Forgetting ICLR 2025 Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025 Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games ICLR 2025 LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced Data SemEval 2025 Latent Bayesian Optimization via Autoregressive Normalizing Flows ICLR 2025 Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data ICLR 2025 Latent Variable Estimation in Bayesian Black-Litterman Models ICML 2025 LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling EMNLP 2025 LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs AAAI 2025 Layer Duplication in LLMs EMNLP 2025 Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025 Layer-wise Quantization for Quantized Optimistic Dual Averaging ICML 2025 LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models CVPR 2025 Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint ICLR 2025 LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching ICCV 2025 Lazy Testing of Machine-Learning Models IJCAI 2025 LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation ICML 2025