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)

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ACL 2021 Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? JMLR 2021 Are wider nets better given the same number of parameters? ICLR 2021 argmax centroid NeurIPS 2021 Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding ACL 2021 A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021 ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021 A Root of a Problem: Optimizing Single-Root Dependency Parsing EMNLP 2021 Artificial Text Detection via Examining the Topology of Attention Maps EMNLP 2021 A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems IJCAI 2021 ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks ICML 2021 A sampling-based circuit for optimal decision making NeurIPS 2021 A Sampling-Based Method for Tensor Ring Decomposition ICML 2021 A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021 A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples ICML 2021 A Scalable Two Stage Approach to Computing Optimal Decision Sets AAAI 2021 A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance ICML 2021 A Second-Order Approach to Learning With Instance-Dependent Label Noise CVPR 2021 A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs NeurIPS 2021 A Sequence-to-Set Network for Nested Named Entity Recognition IJCAI 2021 A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021 A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021 A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration JMLR 2021 A Simple Framework for 3D Lensless Imaging With Programmable Masks ICCV 2021 A single gradient step finds adversarial examples on random two-layers neural networks NeurIPS 2021