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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)

Solving structured hierarchical games using differential backward induction UAI 2022 SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals ICML 2022 SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning ICLR 2022 Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge NeurIPS 2022 Sound and Complete Neural Network Repair with Minimality and Locality Guarantees ICLR 2022 Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing AACL 2022 Sparse Additive Gaussian Process Regression JMLR 2022 Sparse Communication via Mixed Distributions ICLR 2022 Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity ICLR 2022 Sparse Double Descent: Where Network Pruning Aggravates Overfitting ICML 2022 Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NeurIPS 2022 Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model NeurIPS 2022 Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection NeurIPS 2022 Sparse Interventions in Language Models with Differentiable Masking EMNLP 2022 Sparse Invariant Risk Minimization ICML 2022 Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation ICML 2022 Sparse Non-Local CRF CVPR 2022 Sparse Probabilistic Circuits via Pruning and Growing NeurIPS 2022 Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks AAAI 2022 Sparse Structure Search for Delta Tuning NeurIPS 2022 Sparsity in Continuous-Depth Neural Networks NeurIPS 2022 Spartan: Differentiable Sparsity via Regularized Transportation NeurIPS 2022 Spatial Frequency Bias in Convolutional Generative Adversarial Networks AAAI 2022 Spatial Multivariate Trees for Big Data Bayesian Regression JMLR 2022 Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning NAACL 2022