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)
A Tight Lower Bound and Efficient Reduction for Swap Regret
NeurIPS 2020
A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem
IJCAI 2020
A Two-Stage Matheuristic Algorithm for Classical Inventory Routing Problem
IJCAI 2020
Augmenting the Power of (Partial) MaxSat Resolution with Extension
AAAI 2020
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
AISTATS 2020
A Unified Framework for Structured Graph Learning via Spectral Constraints
JMLR 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
JMLR 2020
A Unified Model for the Two-stage Offline-then-Online Resource Allocation
IJCAI 2020
A Unified Optimization Framework for Low-Rank Inducing Penalties
CVPR 2020
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization
JMLR 2020
A Unified Statistically Efficient Estimation Framework for Unnormalized Models
AISTATS 2020
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search
AAAI 2020
Autofocused oracles for model-based design
NeurIPS 2020
Automated Spectral Kernel Learning
AAAI 2020
Automated Synthesis of Modular Manipulators’ Structure and Control for Continuous Tasks around Obstacles
RSS 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
NeurIPS 2020
Automatic Differentiation of Some First-Order Methods in Parametric Optimization
AISTATS 2020
Automatic Dominance Breaking for a Class of Constraint Optimization Problems
IJCAI 2020
Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers
IJCAI 2020
Auto-Tuning Structured Light by Optical Stochastic Gradient Descent
CVPR 2020
A Variable Rolling SLIP Model for a Conceptual Leg Shape to Increase Robustness of Uncertain Velocity on Unknown Terrain
RSS 2020
Averaging Essential and Fundamental Matrices in Collinear Camera Settings
CVPR 2020
Axioms for Learning from Pairwise Comparisons
NeurIPS 2020
Balancing Gaussian vectors in high dimension
COLT 2020
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
AAAI 2020