Optimization
14,850 papers (55 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Continuous Optimization (4,424)
Stochastic Methods (2,991)
Combinatorial Optimization (2,615)
Online Algorithms (2,404)
Optimization (1,521)
Game Theory (1,046)
Convex Optimization (864)
Discrete Optimization (721)
Optimal Transport (474)
Sparse Optimization (416)
Optimal Control (271)
Global Optimization (200)
Non-Convex Optimization (182)
Distributed Learning (164)
Approximation Algorithms (162)
Multi-Objective Optimization (151)
Distributed Optimization (136)
Bayesian Optimization (132)
Theory (109)
Compressed Sensing (102)
Algorithms (89)
Robust Optimization (86)
Submodular Optimization (77)
Kernel Methods (75)
Evolutionary Algorithm (72)
Linear Programming (54)
Tensor Decomposition (48)
Bilevel Optimization (42)
Integer Programming (38)
Matrix Completion (33)
Algorithm (21)
Regularization (11)
Papers per year
1
2
6
6
5
16
67
72
80
102
133
171
219
398
425
440
487
649
812
1,162
1,353
1,487
1,474
1,600
1,870
1,441
372
2000
'5
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Papers (including subtopics)
Distributed PageRank Computation: An Improved Theoretical Study
AAAI 2019
Distributed Weighted Matching via Randomized Composable Coresets
ICML 2019
Distributionally Robust Submodular Maximization
AISTATS 2019
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards
NeurIPS 2019
Don't take it lightly: Phasing optical random projections with unknown operators
NeurIPS 2019
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering
CVPR 2019
Double Quantization for Communication-Efficient Distributed Optimization
NeurIPS 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression
ICML 2019
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization
JMLR 2019
dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces
NSDI 2019
Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication
ICML 2019
Dying Experts: Efficient Algorithms with Optimal Regret Bounds
NeurIPS 2019
Dynamic Contracting under Positive Commitment
AAAI 2019
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
NeurIPS 2019
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem
ICML 2019
Dynamic Pricing in High-dimensions
JMLR 2019
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System
AAAI 2019
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks
AAAI 2019
Earliest-Completion Scheduling of Contract Algorithms with End Guarantees
IJCAI 2019
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling
AAAI 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model
CVPR 2019
EED: Extended Edit Distance Measure for Machine Translation
ACL 2019
Efficient Algorithms for Optimal Perimeter Guarding
RSS 2019
Efficient Algorithms for Smooth Minimax Optimization
NeurIPS 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
NeurIPS 2019