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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)

Stability Based Generalization Bounds for Exponential Family Langevin Dynamics ICML 2022 Stability of SGD: Tightness analysis and improved bounds UAI 2022 Stability Regularization for Discrete Representation Learning ICLR 2022 Stability Verification in Stochastic Control Systems via Neural Network Supermartingales AAAI 2022 Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond COLT 2022 Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022 Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning ICML 2022 Stable Classification JMLR 2022 Stable Conformal Prediction Sets ICML 2022 Stable Long-Term Recurrent Video Super-Resolution CVPR 2022 Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors JMLR 2022 Staged Training for Transformer Language Models ICML 2022 Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge NeurIPS 2022 Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit AISTATS 2022 State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022 State Deviation Correction for Offline Reinforcement Learning AAAI 2022 Statistical and Computational Phase Transitions in Group Testing COLT 2022 Statistical and computational thresholds for the planted k-densest sub-hypergraph problem AISTATS 2022 Statistical Estimation and Online Inference via Local SGD COLT 2022 Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert ICML 2022 Statistical Learning and Inverse Problems: A Stochastic Gradient Approach NeurIPS 2022 Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract) IJCAI 2022 Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers NeurIPS 2022 Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA JMLR 2022 Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models JMLR 2022