Optimization
17,731 papers
Papers per year
10
10
17
7
18
64
72
82
92
117
146
178
377
337
350
415
546
768
1,185
1,385
1,651
1,697
2,026
2,683
2,825
673
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Papers
An End-to-End Differentiable Framework for Contact-Aware Robot Design
RSS 2021
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
ICML 2021
A Neural Network Auction For Group Decision Making Over a Continuous Space
IJCAI 2021
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
NeurIPS 2021
A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data
L4DC 2021
An exact solver for the Weston-Watkins SVM subproblem
ICML 2021
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
NeurIPS 2021
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
NeurIPS 2021
An Inertial Newton Algorithm for Deep Learning
JMLR 2021
An Integer Linear Programming Framework for Mining Constraints from Data
ICML 2021
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
NeurIPS 2021
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
NeurIPS 2021
An online semi-definite programming with a generalised log-determinant regularizer and its applications
ACML 2021
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization
UAI 2021
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
ACML 2021
A Novel Method to Solve Neural Knapsack Problems
ICML 2021
A novel notion of barycenter for probability distributions based on optimal weak mass transport
NeurIPS 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms
ICML 2021
A One-Size-Fits-All Solution to Conservative Bandit Problems
AAAI 2021
A Permutation-Equivariant Neural Network Architecture For Auction Design
AAAI 2021
A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism
IJCAI 2021
Approximate Data Deletion from Machine Learning Models
AISTATS 2021
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components
NeurIPS 2021
Approximate Midpoint Policy Iteration for Linear Quadratic Control
L4DC 2021
Approximate Newton Methods
JMLR 2021