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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)

Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model AAAI 2022 Fast and Provable Nonconvex Tensor RPCA ICML 2022 Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling AAAI 2022 Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022 Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022 Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method AAAI 2022 Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models ICML 2022 Fast Bayesian Estimation of Point Process Intensity as Function of Covariates NeurIPS 2022 Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022 Fast Differentiable Matrix Square Root ICLR 2022 Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization AISTATS 2022 Faster Algorithms for Learning Convex Functions ICML 2022 Faster non-convex federated learning via global and local momentum UAI 2022 Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022 Faster online calibration without randomization: interval forecasts and the power of two choices COLT 2022 Faster Perturbed Stochastic Gradient Methods for Finding Local Minima ALT 2022 Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022 Faster Rates of Private Stochastic Convex Optimization ALT 2022 FasterRisk: Fast and Accurate Interpretable Risk Scores NeurIPS 2022 Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 Fast Few-shot Debugging for NLU Test Suites ACL 2022 Fast Finite Width Neural Tangent Kernel ICML 2022 Fast Fourier Transform Reductions for Bayesian Network Inference AISTATS 2022 Fast Grad-TTS: Towards Efficient Diffusion-Based Speech Generation on CPU Interspeech 2022