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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets AISTATS 2021 A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! AISTATS 2021 All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality EMNLP 2021 Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training EMNLP 2021 Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory IJCAI 2021 (Almost) Free Incentivized Exploration from Decentralized Learning Agents NeurIPS 2021 Almost Linear Time Density Level Set Estimation via DBSCAN AAAI 2021 Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits ICML 2021 Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball COLT 2021 A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network COLT 2021 A Low-Cost Compliant Gripper Using Cooperative Mini-Delta Robots for Dexterous Manipulation RSS 2021 A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning ICML 2021 Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification SemEval 2021 AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence CVPR 2021 AlphaNet: Improved Training of Supernets with Alpha-Divergence ICML 2021 Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation CVPR 2021 Alternating Direction Method of Multipliers for Quantization AISTATS 2021 Altruism Design in Networked Public Goods Games IJCAI 2021 A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021 A Market-Inspired Bidding Scheme for Peer Review Paper Assignment AAAI 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning NeurIPS 2021 A Maximum Likelihood Approach to SNR-Progressive Learning Using Generalized Gaussian Distribution for LSTM-Based Speech Enhancement Interspeech 2021 A Max-Min Entropy Framework for Reinforcement Learning NeurIPS 2021 A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging MIDL 2021