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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)

Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers AISTATS 2021 Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021 Robust Model Compression Using Deep Hypotheses AAAI 2021 Robustness and scalability under heavy tails, without strong convexity AISTATS 2021 Robustness between the worst and average case NeurIPS 2021 Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021 Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels AAAI 2021 Robustness via Uncertainty-aware Cycle Consistency NeurIPS 2021 Robust Online Convex Optimization in the Presence of Outliers COLT 2021 Robust Optimization for Multilingual Translation with Imbalanced Data NeurIPS 2021 Robust Policy Gradient against Strong Data Corruption ICML 2021 Robust Predictable Control NeurIPS 2021 Robust Pruning at Initialization ICLR 2021 Robust Pure Exploration in Linear Bandits with Limited Budget ICML 2021 Robust Regression Revisited: Acceleration and Improved Estimation Rates NeurIPS 2021 Robust Regularization with Adversarial Labelling of Perturbed Samples IJCAI 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021 Robust reinforcement learning under minimax regret for green security UAI 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 Robust Testing and Estimation under Manipulation Attacks ICML 2021 Robust Unsupervised Learning via L-statistic Minimization ICML 2021 Robust Watermarking for Deep Neural Networks via Bi-Level Optimization ICCV 2021 RoCUS: Robot Controller Understanding via Sampling CoRL 2021 Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract) AAAI 2021 RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data EMNLP 2021