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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement CVPR 2021 Projected GANs Converge Faster NeurIPS 2021 Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning COLT 2021 Projection-free Online Learning in Dynamic Environments AAAI 2021 Projection-free Online Learning over Strongly Convex Sets AAAI 2021 Projection-Free Optimization on Uniformly Convex Sets AISTATS 2021 Projection Robust Wasserstein Barycenters ICML 2021 Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo) AAAI 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021 Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021 Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise ICML 2021 Provable Guarantees on the Robustness of Decision Rules to Causal Interventions IJCAI 2021 Provable Hierarchical Imitation Learning via EM AISTATS 2021 Provable Lipschitz Certification for Generative Models ICML 2021 Provable Memorization via Deep Neural Networks using Sub-linear Parameters COLT 2021 Provable Rich Observation Reinforcement Learning with Combinatorial Latent States ICLR 2021 Provable Robustness of Adversarial Training for Learning Halfspaces with Noise ICML 2021 Provably Approximated Point Cloud Registration ICCV 2021 Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021 Provably Efficient Algorithms for Multi-Objective Competitive RL ICML 2021 Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021 Provably efficient multi-task reinforcement learning with model transfer NeurIPS 2021 Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping ICML 2021 Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints NeurIPS 2021