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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
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2000
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Papers (including subtopics)

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models NeurIPS 2024 Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks ACL 2024 Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs EMNLP 2024 Language Models with Conformal Factuality Guarantees ICML 2024 Large Language Models are Limited in Out-of-Context Knowledge Reasoning EMNLP 2024 Large Language Models Are Not Strong Abstract Reasoners IJCAI 2024 Large Language Models to Enhance Bayesian Optimization ICLR 2024 Large language model validity via enhanced conformal prediction methods NeurIPS 2024 Large Scale Dataset Distillation with Domain Shift ICML 2024 Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024 Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024 Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024 Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NeurIPS 2024 LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024 Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games UAI 2024 Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning NeurIPS 2024 Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video ICLR 2024 Latent Neural Operator for Solving Forward and Inverse PDE Problems NeurIPS 2024 Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming ICML 2024 Latent Space Symmetry Discovery ICML 2024 Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time ICLR 2024 LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction AAAI 2024 LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles COLING 2024 Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time ACL 2024