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)

Non-uniform Consistency of Online Learning with Random Sampling ALT 2021 Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data NeurIPS 2021 Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021 No-regret Algorithms for Multi-task Bayesian Optimization AISTATS 2021 No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021 No-regret approximate inference via Bayesian optimisation UAI 2021 No-regret learning with high-probability in adversarial Markov decision processes UAI 2021 No-Regret Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2021 No Regrets for Learning the Prior in Bandits NeurIPS 2021 NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning CVPR 2021 Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021 No-substitution k-means Clustering with Adversarial Order ALT 2021 Not All Memories are Created Equal: Learning to Forget by Expiring ICML 2021 Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search ICCV 2021 Not all parameters are born equal: Attention is mostly what you need EMNLP 2021 Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification EMNLP 2021 NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control ICLR 2021 Novel Upper Bounds for the Constrained Most Probable Explanation Task NeurIPS 2021 NTopo: Mesh-free Topology Optimization using Implicit Neural Representations NeurIPS 2021 Numerical Composition of Differential Privacy NeurIPS 2021 NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization JMLR 2021 NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM NeurIPS 2021 Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention AAAI 2021 OadTR: Online Action Detection With Transformers ICCV 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021