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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

New Oracle-Efficient Algorithms for Private Synthetic Data Release ICML 2020
Conditional gradient methods for stochastically constrained convex minimization ICML 2020
Projection-free Distributed Online Convex Optimization with $O(\sqrtT)$ Communication Complexity ICML 2020
Upper bounds for Model-Free Row-Sparse Principal Component Analysis ICML 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems ICML 2020
Batch Stationary Distribution Estimation ICML 2020
Efficiently sampling functions from Gaussian process posteriors ICML 2020
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling ICML 2020
Is Local SGD Better than Minibatch SGD? ICML 2020
On the Noisy Gradient Descent that Generalizes as SGD ICML 2020
Stronger and Faster Wasserstein Adversarial Attacks ICML 2020
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing ICML 2020
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems ICML 2020
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization ICML 2020
Stochastic Optimization for Non-convex Inf-Projection Problems ICML 2020
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing ICML 2020
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate ICML 2020
Spread Divergence ICML 2020
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions ICML 2020
Sparsified Linear Programming for Zero-Sum Equilibrium Finding ICML 2020
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer ICML 2020
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting ICML 2020
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020