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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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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization ICML 2022 Black-box coreset variational inference NeurIPS 2022 Black-Box Generalization: Stability of Zeroth-Order Learning NeurIPS 2022 Black-Box Tuning for Language-Model-as-a-Service ICML 2022 Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution NeurIPS 2022 Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel CVPR 2022 Block Contextual MDPs for Continual Learning L4DC 2022 BlockFlex: Enabling Storage Harvesting with Software-Defined Flash in Modern Cloud Platforms OSDI 2022 Blocking Influence at Collective Level with Hard Constraints (Student Abstract) AAAI 2022 BLOX: Macro Neural Architecture Search Benchmark and Algorithms NeurIPS 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NeurIPS 2022 Boosting the Certified Robustness of L-infinity Distance Nets ICLR 2022 Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs NeurIPS 2022 Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation NeurIPS 2022 Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training CVPR 2022 Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization ICML 2022 BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog NAACL 2022 Boundary Smoothing for Named Entity Recognition ACL 2022 Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback IJCAI 2022 Bounding and Approximating Intersectional Fairness through Marginal Fairness NeurIPS 2022 Bounding the Difference Between Model Predictive Control and Neural Networks L4DC 2022 Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022 Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis ICML 2022 Brain-Inspired Multilayer Perceptron With Spiking Neurons CVPR 2022 Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize NeurIPS 2022