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
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
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'15
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Papers (including subtopics)
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations
NeurIPS 2020
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
AAAI 2020
Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions
IJCAI 2020
Robustness Guarantees for Deep Neural Networks on Videos
CVPR 2020
Robustness of Community Detection to Random Geometric Perturbations
NeurIPS 2020
Robustness to Spurious Correlations via Human Annotations
ICML 2020
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
ICML 2020
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
NeurIPS 2020
Robust Optimisation Monte Carlo
AISTATS 2020
Robust Optimization for Fairness with Noisy Protected Groups
NeurIPS 2020
Robust Persistence Diagrams using Reproducing Kernels
NeurIPS 2020
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization
IJCAI 2020
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
NeurIPS 2020
Robust Reinforcement Learning for Continuous Control with Model Misspecification
ICLR 2020
Robust Sequence Submodular Maximization
NeurIPS 2020
Robust Spatial-Temporal Incident Prediction
UAI 2020
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
AAAI 2020
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
NeurIPS 2020
Robust training with ensemble consensus
ICLR 2020
Roles and Utilization of Attention Heads in Transformer-based Neural Language Models
ACL 2020
Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank
COLT 2020
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
CVPR 2020
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
ACML 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
NeurIPS 2020
SAdam: A Variant of Adam for Strongly Convex Functions
ICLR 2020