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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)

Adversarial Training is a Form of Data-dependent Operator Norm Regularization NeurIPS 2020 A Dynamical Central Limit Theorem for Shallow Neural Networks NeurIPS 2020 AE-OT: A NEW GENERATIVE MODEL BASED ON EXTENDED SEMI-DISCRETE OPTIMAL TRANSPORT ICLR 2020 A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020 A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates COLT 2020 A Finite-Sample Deviation Bound for Stable Autoregressive Processes L4DC 2020 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods NeurIPS 2020 A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding NeurIPS 2020 A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020 A Formal Approach for Cautious Reasoning in Answer Set Programming (Extended Abstract) IJCAI 2020 A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020 A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks AAAI 2020 A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case ICLR 2020 A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling NeurIPS 2020 AGAMOTTO: How Persistent is your Persistent Memory Application? OSDI 2020 A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings JMLR 2020 A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing AAAI 2020 A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks NeurIPS 2020 A General Large Neighborhood Search Framework for Solving Integer Linear Programs NeurIPS 2020 A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020 Aggregated Gradient Langevin Dynamics AAAI 2020 Aggregation of Multiple Knockoffs ICML 2020 A Global Quasi-Dynamic Model for Contact-Trajectory Optimization in Manipulation RSS 2020