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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)

Importance-based Neuron Allocation for Multilingual Neural Machine Translation ACL 2021 Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications COLT 2021 Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract) IJCAI 2021 Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming IJCAI 2021 Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021 Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach IJCAI 2021 Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise COLT 2021 Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions L4DC 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021 Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ICML 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces NeurIPS 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Improved Denoising Diffusion Probabilistic Models ICML 2021 Improved, Deterministic Smoothing for L_1 Certified Robustness ICML 2021 Improved Estimation of Concentration Under ℓ_p-Norm Distance Metrics Using Half Spaces ICLR 2021 Improved generalization bounds of group invariant / equivariant deep networks via quotient feature spaces UAI 2021 Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021 Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes NeurIPS 2021 Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation NeurIPS 2021 Improved Mutual Information Estimation AAAI 2021 Improved OOD Generalization via Adversarial Training and Pretraing ICML 2021 Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization AAAI 2021 Improved POMDP Tree Search Planning with Prioritized Action Branching AAAI 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021