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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
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828
3,646
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2000
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Papers (including subtopics)

Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses NeurIPS 2022 Hybrid Random Features ICLR 2022 Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning CVPR 2022 Hypergraph Structure Learning for Hypergraph Neural Networks IJCAI 2022 HyperImpute: Generalized Iterative Imputation with Automatic Model Selection ICML 2022 Hypernetworks in Meta-Reinforcement Learning CoRL 2022 Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NeurIPS 2022 HyperTree Proof Search for Neural Theorem Proving NeurIPS 2022 Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022 HYPHEN: Hyperbolic Hawkes Attention For Text Streams ACL 2022 HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences NeurIPS 2022 I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning AAAI 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022 Identifiability Conditions for Domain Adaptation ICML 2022 Identifiability of deep generative models without auxiliary information NeurIPS 2022 Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects AISTATS 2022 Identification in Tree-shaped Linear Structural Causal Models AISTATS 2022 Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials NeurIPS 2022 Identity Testing of Reversible Markov Chains AISTATS 2022 IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022 If Influence Functions are the Answer, Then What is the Question? NeurIPS 2022 iFlood: A Stable and Effective Regularizer ICLR 2022 IGLU: Efficient GCN Training via Lazy Updates ICLR 2022 iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control AAAI 2022 iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data ICLR 2022