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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)

Graph Neural Networks Do Not Always Oversmooth NeurIPS 2024 Graph Neural Networks Use Graphs When They Shouldn’t ICML 2024 Graph Neural Networks with a Distribution of Parametrized Graphs ICML 2024 Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets AISTATS 2024 Graph-Triggered Rising Bandits ICML 2024 GraphVis: Boosting LLMs with Visual Knowledge Graph Integration NeurIPS 2024 GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models IJCAI 2024 GRATH: Gradual Self-Truthifying for Large Language Models ICML 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration NeurIPS 2024 Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees AAAI 2024 Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024 Grokking as a First Order Phase Transition in Two Layer Networks ICLR 2024 Grokking as the transition from lazy to rich training dynamics ICLR 2024 Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding ICLR 2024 Grokking phase transitions in learning local rules with gradient descent JMLR 2024 Grounding and Enhancing Grid-based Models for Neural Fields CVPR 2024 Group and Shuffle: Efficient Structured Orthogonal Parametrization NeurIPS 2024 Group-wise oracle-efficient algorithms for online multi-group learning NeurIPS 2024 GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views ECCV 2024 gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract) IJCAI 2024 GSDD: Generative Space Dataset Distillation for Image Super-resolution AAAI 2024 GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers ACL 2024 Guaranteed Approximation Bounds for Mixed-Precision Neural Operators ICLR 2024