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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)

ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models NAACL 2024 Item Response Theory for Natural Language Processing EACL 2024 Iterate Averaging in the Quest for Best Test Error JMLR 2024 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities ICML 2024 Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF ICML 2024 Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models ECCV 2024 Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint ICML 2024 Iterative Reasoning Preference Optimization NeurIPS 2024 Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024 Iterative Regularized Policy Optimization with Imperfect Demonstrations ICML 2024 Iterative Search Attribution for Deep Neural Networks ICML 2024 Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting ICLR 2024 It’s Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning ACL 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NeurIPS 2024 JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models CVPR 2024 John Ellipsoids via Lazy Updates NeurIPS 2024 Joint Composite Latent Space Bayesian Optimization ICML 2024 Joint control variate for faster black-box variational inference AISTATS 2024 Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization AAAI 2024 Jointly-Learned Exit and Inference for a Dynamic Neural Network ICLR 2024 Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024 JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024 Jolteon: Unleashing the Promise of Serverless for Serverless Workflows NSDI 2024 JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention ICLR 2024