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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)

The Flag Median and FlagIRLS CVPR 2022 The Fragility of Multi-Treebank Parsing Evaluation COLING 2022 The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics NeurIPS 2022 The Geometry of Robust Value Functions ICML 2022 The Gyro-Structure of Some Matrix Manifolds NeurIPS 2022 The Hessian Screening Rule NeurIPS 2022 The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions ICLR 2022 The Hitchhiker's Guide to Prior-Shift Adaptation WACV 2022 The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning NeurIPS 2022 The Implicit Bias of Benign Overfitting COLT 2022 The Implicit Delta Method NeurIPS 2022 The Implicit Values of a Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement CVPR 2022 The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains EMNLP 2022 The Importance of Hyperparameter Optimisation for Facial Recognition Applications AAAI 2022 The Importance of Non-Markovianity in Maximum State Entropy Exploration ICML 2022 The Information Geometry of Unsupervised Reinforcement Learning ICLR 2022 The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks JMLR 2022 The King Is Naked: On the Notion of Robustness for Natural Language Processing AAAI 2022 The least-control principle for local learning at equilibrium NeurIPS 2022 The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks COLT 2022 The Mirror Langevin Algorithm Converges with Vanishing Bias ALT 2022 The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization NeurIPS 2022 The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks ICML 2022 Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses NAACL 2022 The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization NeurIPS 2022