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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)

An Unsupervised Information-Theoretic Perceptual Quality Metric NeurIPS 2020 A One-step Approach to Covariate Shift Adaptation ACML 2020 AOWS: Adaptive and Optimal Network Width Search With Latency Constraints CVPR 2020 Apache Mahout: Machine Learning on Distributed Dataflow Systems JMLR 2020 A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork IJCAI 2020 AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning AISTATS 2020 Approximate Cross-Validation for Structured Models NeurIPS 2020 Approximate Cross-validation: Guarantees for Model Assessment and Selection AISTATS 2020 Approximate Cross-Validation in High Dimensions with Guarantees AISTATS 2020 Approximate Cross-Validation with Low-Rank Data in High Dimensions NeurIPS 2020 Approximate Heavily-Constrained Learning with Lagrange Multiplier Models NeurIPS 2020 Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020 Approximate Inference with Wasserstein Gradient Flows AISTATS 2020 Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity COLT 2020 Approximate Representer Theorems in Non-reflexive Banach Spaces ALT 2020 Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry IJCAI 2020 Approximating shapes in images with low-complexity polygons CVPR 2020 Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network ICML 2020 Approximation Based Variance Reduction for Reparameterization Gradients NeurIPS 2020 Approximation Capabilities of Neural ODEs and Invertible Residual Networks ICML 2020 Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions ICML 2020 Approximation Schemes for ReLU Regression COLT 2020 A Practical Approach to Forgetting in Description Logics with Nominals AAAI 2020 A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020 A Primal-Dual Solver for Large-Scale Tracking-by-Assignment AISTATS 2020