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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)

Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022 Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications ICML 2022 GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models NeurIPS 2022 GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning CVPR 2022 GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING ICLR 2022 GenDR: A Generalized Differentiable Renderer CVPR 2022 General Cutting Planes for Bound-Propagation-Based Neural Network Verification NeurIPS 2022 Generalisation of Alpha-Beta Search for AND-OR Graphs With Partially Ordered Values IJCAI 2022 Generalization Analysis of Message Passing Neural Networks on Large Random Graphs NeurIPS 2022 Generalization Analysis on Learning with a Concurrent Verifier NeurIPS 2022 Generalization Bounded Implicit Learning of Nearly Discontinuous Functions L4DC 2022 Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects JMLR 2022 Generalization Bounds for Data-Driven Numerical Linear Algebra COLT 2022 Generalization Bounds for Estimating Causal Effects of Continuous Treatments NeurIPS 2022 Generalization Bounds for Gradient Methods via Discrete and Continuous Prior NeurIPS 2022 Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers NeurIPS 2022 Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022 Generalization Bounds via Convex Analysis COLT 2022 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NeurIPS 2022 Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems EMNLP 2022 Generalization Error Bounds on Deep Learning with Markov Datasets NeurIPS 2022 Generalization for multiclass classification with overparameterized linear models NeurIPS 2022 Generalization Gap in Amortized Inference NeurIPS 2022 Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022 Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness ICLR 2022