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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)

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization NeurIPS 2024 GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics NeurIPS 2024 Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction ICML 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024 Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications ICML 2024 Geometry of naturalistic object representations in recurrent neural network models of working memory NeurIPS 2024 GeONet: a neural operator for learning the Wasserstein geodesic UAI 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024 Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division IJCAI 2024 GGD: Grafting Gradient Descent JMLR 2024 Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024 Gibbs Sampling of Continuous Potentials on a Quantum Computer ICML 2024 GIO: Gradient Information Optimization for Training Dataset Selection ICLR 2024 GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models EMNLP 2024 GLBench: A Comprehensive Benchmark for Graph with Large Language Models NeurIPS 2024 Gliding over the Pareto Front with Uniform Designs NeurIPS 2024 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024 GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent NeurIPS 2024 Global Convergence in Training Large-Scale Transformers NeurIPS 2024 Globally Convergent Variational Inference NeurIPS 2024 Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NeurIPS 2024 Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator IJCAI 2024 Global-Pruner: A Stable and Efficient Pruner for Retraining-Free Pruning of Encoder-Based Language Models CoNLL 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024