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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'10
'15
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Papers (including subtopics)
Environment-Dependent Attention-Driven Recurrent Convolutional Neural Network for Robust Speech Enhancement
Interspeech 2019
Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits
NeurIPS 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
UAI 2019
Equilibrium Characterization for Data Acquisition Games
IJCAI 2019
Equi-normalization of Neural Networks
ICLR 2019
Equitable Allocations of Indivisible Goods
IJCAI 2019
ERP Signal Analysis with Temporal Resolution Using a Time Window Bank
Interspeech 2019
Error bounds for sparse classifiers in high-dimensions
AISTATS 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
ICML 2019
Escaping Saddle Points with Adaptive Gradient Methods
ICML 2019
Estimate Sequences for Variance-Reduced Stochastic Composite Optimization
ICML 2019
Estimating Convergence of Markov chains with L-Lag Couplings
NeurIPS 2019
Estimating Entropy of Distributions in Constant Space
NeurIPS 2019
Estimating Information Flow in Deep Neural Networks
ICML 2019
Estimating Network Structure from Incomplete Event Data
AISTATS 2019
Estimating the Causal Effect from Partially Observed Time Series
AAAI 2019
Estimating the Mixing Time of Ergodic Markov Chains
COLT 2019
Estimation of smooth densities in Wasserstein distance
COLT 2019
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
AAAI 2019
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
ICCV 2019
Evaluating adversarial attacks against multiple fact verification systems
EMNLP 2019
Evaluating model calibration in classification
AISTATS 2019
Evaluating Question Answering Evaluation
EMNLP 2019
Evaluating Research Novelty Detection: Counterfactual Approaches
EMNLP 2019
Evaluating Robustness of Neural Networks with Mixed Integer Programming
ICLR 2019