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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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Papers (including subtopics)

Label Inference Attacks from Log-loss Scores ICML 2021 Label Noise SGD Provably Prefers Flat Global Minimizers NeurIPS 2021 Label-Only Membership Inference Attacks ICML 2021 LambdaNetworks: Modeling long-range Interactions without Attention ICLR 2021 Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021 Landscape analysis of an improved power method for tensor decomposition NeurIPS 2021 Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms JMLR 2021 Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021 Language Model Evaluation Beyond Perplexity ACL 2021 Language Resource Efficient Learning for Captioning EMNLP 2021 Laplace Redux - Effortless Bayesian Deep Learning NeurIPS 2021 Large Associative Memory Problem in Neurobiology and Machine Learning ICLR 2021 Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling AAAI 2021 Large Image Datasets: A Pyrrhic Win for Computer Vision? WACV 2021 Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021 Large-Scale English-Japanese Simultaneous Interpretation Corpus: Construction and Analyses with Sentence-Aligned Data ACL 2021 Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Large Scale Private Learning via Low-rank Reparametrization ICML 2021 Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification ICCV 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Large-width functional asymptotics for deep Gaussian neural networks ICLR 2021 LassoNet: A Neural Network with Feature Sparsity JMLR 2021 LassoNet: Neural Networks with Feature Sparsity AISTATS 2021 Last-iterate Convergence in Extensive-Form Games NeurIPS 2021