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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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Papers (including subtopics)

Interventionally Consistent Surrogates for Complex Simulation Models NeurIPS 2024 Intervention and Conditioning in Causal Bayesian Networks NeurIPS 2024 IntOS: Persistent Embedded Operating System and Language Support for Multi-threaded Intermittent Computing OSDI 2024 Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering CVPR 2024 Intriguing Properties of Data Attribution on Diffusion Models ICLR 2024 Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024 Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling NeurIPS 2024 Introducing PaVeDa – Pavia Verbs Database: Valency Patterns and Pattern Comparison in Ancient Indo-European Languages COLING 2024 In value-based deep reinforcement learning, a pruned network is a good network ICML 2024 Invariant Physics-Informed Neural Networks for Ordinary Differential Equations JMLR 2024 Invariant Risk Minimization Is A Total Variation Model ICML 2024 Inverse Approximation Theory for Nonlinear Recurrent Neural Networks ICLR 2024 Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NeurIPS 2024 Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects ICML 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 Invertible Residual Rescaling Models IJCAI 2024 Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’ NAACL 2024 Investigating Data Contamination in Modern Benchmarks for Large Language Models NAACL 2024 Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024 Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following AAAI 2024 Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024 Investigation into Training Dynamics of Learned Optimizers (Student Abstract) AAAI 2024 INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer ICML 2024 I/O Complexity of Attention, or How Optimal is FlashAttention? ICML 2024 IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs NeurIPS 2024