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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)

A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?" ICLR 2022 A new similarity measure for covariate shift with applications to nonparametric regression ICML 2022 An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming ICML 2022 An Experimental Design Approach for Regret Minimization in Logistic Bandits AAAI 2022 An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models ACL 2022 An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression JMLR 2022 An In-depth Study of Stochastic Backpropagation NeurIPS 2022 An Information Fusion Approach to Learning with Instance-Dependent Label Noise ICLR 2022 An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022 An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels ACL 2022 An Information-Theoretic Framework for Deep Learning NeurIPS 2022 An Information-Theoretic Justification for Model Pruning AISTATS 2022 An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn ICML 2022 An Investigation into Whitening Loss for Self-supervised Learning NeurIPS 2022 Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022 Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting AAAI 2022 Anisotropic Random Feature Regression in High Dimensions ICLR 2022 An Item Response Theory Framework for Persuasion NAACL 2022 Annihilation of Spurious Minima in Two-Layer ReLU Networks NeurIPS 2022 A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NeurIPS 2022 A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NeurIPS 2022 An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization AISTATS 2022 An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas IJCAI 2022 A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS ICLR 2022 Anonymized Histograms in Intermediate Privacy Models NeurIPS 2022