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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)

Fisher information lower bounds for sampling ALT 2023 Fisher-Legendre (FishLeg) optimization of deep neural networks ICLR 2023 Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation JMLR 2023 Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances UAI 2023 Fixed-Weight Difference Target Propagation AAAI 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation ACL 2023 Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs NeurIPS 2023 FLASH: Automating federated learning using CASH UAI 2023 Flash: Concept Drift Adaptation in Federated Learning ICML 2023 FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning NeurIPS 2023 Flatness-Aware Minimization for Domain Generalization ICCV 2023 Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023 Flat Seeking Bayesian Neural Networks NeurIPS 2023 FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score EMNLP 2023 Fleet Active Learning: A Submodular Maximization Approach CoRL 2023 FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems ICML 2023 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU ICML 2023 Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023 Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation AAAI 2023 Flexible risk design using bi-directional dispersion AISTATS 2023 Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance ICCV 2023 FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization ICML 2023 FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023 Flor: An Open High Performance RDMA Framework Over Heterogeneous RNICs OSDI 2023