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)

An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario AACL 2020 An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection Interspeech 2020 An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints AAAI 2020 An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020 An Efficient Subband Linear Prediction for LPCNet-Based Neural Synthesis Interspeech 2020 An EM Approach to Non-autoregressive Conditional Sequence Generation ICML 2020 An empirical analysis of existing systems and datasets toward general simple question answering COLING 2020 An Empirical Comparison of Unsupervised Constituency Parsing Methods ACL 2020 An Empirical Investigation of Beam-Aware Training in Supertagging EMNLP 2020 An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits NeurIPS 2020 An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise AISTATS 2020 An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference CoNLL 2020 An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm ICML 2020 An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay NeurIPS 2020 A "Network Pruning Network'' Approach to Deep Model Compression WACV 2020 An Evaluation Method for Diachronic Word Sense Induction EMNLP 2020 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 A new convergent variant of Q-learning with linear function approximation NeurIPS 2020 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons NeurIPS 2020 A New Perspective on Learning Context-Specific Independence PGM 2020 A new regret analysis for Adam-type algorithms ICML 2020 A New Training Pipeline for an Improved Neural Transducer Interspeech 2020 An Expectation Maximisation Algorithm for Automated Cognate Detection CoNLL 2020 An Exponential Learning Rate Schedule for Deep Learning ICLR 2020