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Optimization

14,983 papers

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Papers

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods ICML 2020
Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths ICML 2020
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions ICML 2020
Gradient Temporal-Difference Learning with Regularized Corrections ICML 2020
Representations for Stable Off-Policy Reinforcement Learning ICML 2020
One Size Fits All: Can We Train One Denoiser for All Noise Levels? ICML 2020
Ordinal Non-negative Matrix Factorization for Recommendation ICML 2020
On the Iteration Complexity of Hypergradient Computation ICML 2020
Monte-Carlo Tree Search as Regularized Policy Optimization ICML 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020
Multidimensional Shape Constraints ICML 2020
Streaming Submodular Maximization under a k-Set System Constraint ICML 2020
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020
Stochastic Subspace Cubic Newton Method ICML 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits ICML 2020
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation ICML 2020
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization ICML 2020
Optimization and Analysis of the pAp@k Metric for Recommender Systems ICML 2020
Momentum-Based Policy Gradient Methods ICML 2020
Accelerated Stochastic Gradient-free and Projection-free Methods ICML 2020
Curvature-corrected learning dynamics in deep neural networks ICML 2020
Debiased Sinkhorn barycenters ICML 2020
Extra-gradient with player sampling for faster convergence in n-player games ICML 2020