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)
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
AAAI 2020
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness
AISTATS 2020
Beyond Lazy Training for Over-parameterized Tensor Decomposition
NeurIPS 2020
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks
ICLR 2020
Beyond Network Pruning: a Joint Search-and-Training Approach
IJCAI 2020
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
AAAI 2020
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
NeurIPS 2020
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
ICML 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
ICML 2020
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling
AAAI 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
NeurIPS 2020
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
NeurIPS 2020
Bidirectional Convolutional Poisson Gamma Dynamical Systems
NeurIPS 2020
Bidirectional LSTM Network with Ordered Neurons for Speech Enhancement
Interspeech 2020
Bidirectional Model-based Policy Optimization
ICML 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models
NeurIPS 2020
Binarized Neural Architecture Search
AAAI 2020
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
ICLR 2020
BINOCULARS for efficient, nonmyopic sequential experimental design
ICML 2020
Biological credit assignment through dynamic inversion of feedforward networks
NeurIPS 2020
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks
AAAI 2020
Biologically Plausible Sequence Learning with Spiking Neural Networks
AAAI 2020
Biomedical Entity Representations with Synonym Marginalization
ACL 2020
Black-box Certification and Learning under Adversarial Perturbations
ICML 2020
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
NeurIPS 2020