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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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828
3,646
5,854
2000
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Papers (including subtopics)

EigenVI: score-based variational inference with orthogonal function expansions NeurIPS 2024 ElasticAST: An Audio Spectrogram Transformer for All Length and Resolutions Interspeech 2024 ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer NeurIPS 2024 Electronic Medical Records Assisted Digital Clinical Trial Design AISTATS 2024 Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024 Elo Uncovered: Robustness and Best Practices in Language Model Evaluation NeurIPS 2024 Elucidating the Exposure Bias in Diffusion Models ICLR 2024 Eluder-based Regret for Stochastic Contextual MDPs ICML 2024 Embarrassingly Parallel GFlowNets ICML 2024 Embarrassingly Simple Dataset Distillation ICLR 2024 EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence ICML 2024 EM Distillation for One-step Diffusion Models NeurIPS 2024 Emergence of heavy tails in homogenized stochastic gradient descent NeurIPS 2024 Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space NeurIPS 2024 Emergent Abilities in Reduced-Scale Generative Language Models NAACL 2024 Emergent Equivariance in Deep Ensembles ICML 2024 EM for Mixture of Linear Regression with Clustered Data AISTATS 2024 EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING ICLR 2024 Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions COLING 2024 EmotionArcs: Emotion Arcs for 9,000 Literary Texts EACL 2024 Emotion Arithmetic: Emotional Speech Synthesis via Weight Space Interpolation Interspeech 2024 Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation ICLR 2024 Empirical Design in Reinforcement Learning JMLR 2024 Empirical Likelihood for Fair Classification ICLR 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024