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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)

Speed up Training with Variable Length Inputs by Efficient Batching Strategies Interspeech 2021 Speedy Performance Estimation for Neural Architecture Search NeurIPS 2021 Spherical Confidence Learning for Face Recognition CVPR 2021 Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay NeurIPS 2021 Spot the Difference: Detection of Topological Changes via Geometric Alignment NeurIPS 2021 Square Root Bundle Adjustment for Large-Scale Reconstruction CVPR 2021 Square Root Marginalization for Sliding-Window Bundle Adjustment ICCV 2021 Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery NeurIPS 2021 SSMF: Shifting Seasonal Matrix Factorization NeurIPS 2021 Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness ICML 2021 Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$ NeurIPS 2021 Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss AISTATS 2021 Stability and Generalization for Randomized Coordinate Descent IJCAI 2021 Stability and Generalization of Bilevel Programming in Hyperparameter Optimization NeurIPS 2021 Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021 Stability and Generalization of Stochastic Gradient Methods for Minimax Problems ICML 2021 Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021 Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel NeurIPS 2021 Stabilizing Equilibrium Models by Jacobian Regularization ICML 2021 Stabilizing Q Learning Via Soft Mellowmax Operator AAAI 2021 Stable Adversarial Learning under Distributional Shifts AAAI 2021 StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR Interspeech 2021 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks NeurIPS 2021 Stable ResNet AISTATS 2021 Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound ALT 2021