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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
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Papers (including subtopics)

A Calibration Metric for Risk Scores with Survival Data MLHC 2019 Accelerate CNN via Recursive Bayesian Pruning ICCV 2019 Accelerated Alternating Projections for Robust Principal Component Analysis JMLR 2019 Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019 Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019 Accelerated Flow for Probability Distributions ICML 2019 Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor IJCAI 2019 Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances ICML 2019 ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION ICLR 2019 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NeurIPS 2019 Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units ACL 2019 Acceleration of SVRG and Katyusha X by Inexact Preconditioning ICML 2019 Acceleration via Symplectic Discretization of High-Resolution Differential Equations NeurIPS 2019 Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks ICLR 2019 Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation COLT 2019 Accurate Layerwise Interpretable Competence Estimation NeurIPS 2019 Accurate, reliable and fast robustness evaluation NeurIPS 2019 Accurate Uncertainty Estimation and Decomposition in Ensemble Learning NeurIPS 2019 Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information COLT 2019 Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly COLT 2019 Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation EMNLP 2019 A Closed-Form Solution to Universal Style Transfer ICCV 2019 A Closer Look at Data Bias in Neural Extractive Summarization Models EMNLP 2019 A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation ICLR 2019 A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NeurIPS 2019