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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)

Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023 Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NeurIPS 2023 Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD COLT 2023 Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NeurIPS 2023 Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies ICML 2023 Bias in Evaluation Processes: An Optimization-Based Model NeurIPS 2023 Bicriteria Approximation Algorithms for the Submodular Cover Problem NeurIPS 2023 Bicriteria Multidimensional Mechanism Design with Side Information NeurIPS 2023 Bidirectional Attention as a Mixture of Continuous Word Experts UAI 2023 Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers ICML 2023 Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization EMNLP 2023 Bifurcations and loss jumps in RNN training NeurIPS 2023 Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023 Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm NeurIPS 2023 Bi-Level Meta-Learning for Few-Shot Domain Generalization CVPR 2023 Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023 Bilevel Optimization with Coupled Decision-Dependent Distributions ICML 2023 Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients ICLR 2023 Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023 Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023 Binary Classification with Confidence Difference NeurIPS 2023 BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology EMNLP 2023 Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NeurIPS 2023 BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization NeurIPS 2023 Bit Allocation using Optimization ICML 2023