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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
5,854
2000
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Papers (including subtopics)

"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach NeurIPS 2022 LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT ICLR 2022 LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NeurIPS 2022 Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks NeurIPS 2022 Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach ICLR 2022 Low-complex and Highly-performed Binary Residual Neural Network for Small-footprint Keyword Spotting Interspeech 2022 Low-Degree Multicalibration COLT 2022 Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression NeurIPS 2022 Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs NeurIPS 2022 Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians ALT 2022 Low-Level Physiological Implications of End-to-End Learning for Speech Recognition Interspeech 2022 Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape AISTATS 2022 Low-precision arithmetic for fast Gaussian processes UAI 2022 Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022 Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations NeurIPS 2022 Low-rank Optimal Transport: Approximation, Statistics and Debiasing NeurIPS 2022 Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization JMLR 2022 LPC: A Logits and Parameter Calibration Framework for Continual Learning EMNLP 2022 LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data JMLR 2022 LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022 LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout NeurIPS 2022 Luckiness in Multiscale Online Learning NeurIPS 2022 Ludus: An Optimization Framework to Balance Auto Battler Cards AAAI 2022 LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022 Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning CoRL 2022