Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures AAAI 2021 Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings NeurIPS 2021 Deep kernel processes ICML 2021 Deep kernels with probabilistic embeddings for small-data learning UAI 2021 Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space NeurIPS 2021 Deep Learning meets Projective Clustering ICLR 2021 Deep Learning on a Data Diet: Finding Important Examples Early in Training NeurIPS 2021 Deep Learning Through the Lens of Example Difficulty NeurIPS 2021 DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition CVPR 2021 Deeply-Debiased Off-Policy Interval Estimation ICML 2021 Deep Networks and the Multiple Manifold Problem ICLR 2021 Deep Networks Provably Classify Data on Curves NeurIPS 2021 Deep Neural Network Calibration for E2E Speech Recognition System Interspeech 2021 Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond AISTATS 2021 Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS ICLR 2021 Deep Optimized Priors for 3D Shape Modeling and Reconstruction CVPR 2021 DeepPanoContext: Panoramic 3D Scene Understanding With Holistic Scene Context Graph and Relation-Based Optimization ICCV 2021 Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems AISTATS 2021 Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021 DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis AAAI 2021 DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NeurIPS 2021 Deep Reinforcement Learning at the Edge of the Statistical Precipice NeurIPS 2021 Deep Spectral Ranking AISTATS 2021 Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information AAAI 2021 DEEPSPLIT: An Efficient Splitting Method for Neural Network Verification via Indirect Effect Analysis IJCAI 2021