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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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828
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2000
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Papers (including subtopics)

Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling AAAI 2021 Non-asymptotic Error Bounds for Bidirectional GANs NeurIPS 2021 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences AISTATS 2021 Non-attracting Regions of Local Minima in Deep and Wide Neural Networks JMLR 2021 Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction ICML 2021 Non-conservative Design of Robust Tracking Controllers Based on Input-output Data L4DC 2021 Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NeurIPS 2021 Nondeterminism and Instability in Neural Network Optimization ICML 2021 Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021 Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions ICML 2021 Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder IJCAI 2021 Nonlinear Acoustic Echo Cancellation with Deep Learning Interspeech 2021 Nonlinear Data-Enabled Prediction and Control L4DC 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021 Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance L4DC 2021 Nonmyopic Multifidelity Acitve Search ICML 2021 Nonparametric estimation of continuous DPPs with kernel methods NeurIPS 2021 Nonparametric Hamiltonian Monte Carlo ICML 2021 Nonparametric Modeling of Higher-Order Interactions via Hypergraphons JMLR 2021 Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021 Non-Parametric Stochastic Sequential Assignment With Random Arrival Times IJCAI 2021 Nonparametric Variable Screening with Optimal Decision Stumps AISTATS 2021 Nonseparable Symplectic Neural Networks ICLR 2021 Nonsmooth Implicit Differentiation for Machine-Learning and Optimization NeurIPS 2021 Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach COLT 2021