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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 time-resolved theory of information encoding in recurrent neural networks NeurIPS 2022 A Transformational Characterization of Unconditionally Equivalent Bayesian Networks PGM 2022 Attacking Video Recognition Models with Bullet-Screen Comments AAAI 2022 Attentive Recurrent Network for Low-Latency Active Noise Control Interspeech 2022 Audio Anti-spoofing Using Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning Interspeech 2022 Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems NeurIPS 2022 Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions EMNLP 2022 A Unified Analysis of Federated Learning with Arbitrary Client Participation NeurIPS 2022 A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective NeurIPS 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space IJCAI 2022 A Unified Framework for Deep Symbolic Regression NeurIPS 2022 A Unified Framework for Implicit Sinkhorn Differentiation CVPR 2022 A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review JMLR 2022 A Unified View of SDP-based Neural Network Verification through Completely Positive Programming AISTATS 2022 A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022 A Unified Wasserstein Distributional Robustness Framework for Adversarial Training ICLR 2022 A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks ICML 2022 A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption CLeaR 2022 A Unifying Framework for Online Optimization with Long-Term Constraints NeurIPS 2022 A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022 A Unifying Framework of Off-Policy General Value Function Evaluation NeurIPS 2022 A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits AAAI 2022 A Universal PINNs Method for Solving Partial Differential Equations with a Point Source IJCAI 2022 AutoBERT-Zero: Evolving BERT Backbone from Scratch AAAI 2022