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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)

Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators ICCV 2021 Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021 NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem NeurIPS 2021 Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence WACV 2021 NeurST: Neural Speech Translation Toolkit ACL 2021 NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL NeurIPS 2021 Never Go Full Batch (in Stochastic Convex Optimization) NeurIPS 2021 New Bounds For Distributed Mean Estimation and Variance Reduction ICLR 2021 Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update NeurIPS 2021 Newton Method over Networks is Fast up to the Statistical Precision ICML 2021 Newton Optimization on Helmholtz Decomposition for Continuous Games AAAI 2021 NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset EMNLP 2021 Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks NeurIPS 2021 Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images NeurIPS 2021 Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent ICML 2021 Noise as a Resource for Learning in Knowledge Distillation WACV 2021 Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion Interspeech 2021 Noise Stability Regularization for Improving BERT Fine-tuning NAACL 2021 Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks NeurIPS 2021 Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization AISTATS 2021 Noisy Recurrent Neural Networks NeurIPS 2021 No MCMC for me: Amortized sampling for fast and stable training of energy-based models ICLR 2021 Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation NeurIPS 2021 Non-asymptotic approximations of neural networks by Gaussian processes COLT 2021 Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds ICLR 2021