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Optimization

14,983 papers

Papers per year

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Papers

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling AISTATS 2021
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization AISTATS 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning AISTATS 2021
A unified view of likelihood ratio and reparameterization gradients AISTATS 2021
Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization ALT 2021
Online Boosting with Bandit Feedback ALT 2021
Asymptotically Optimal Strategies For Combinatorial Semi-Bandits in Polynomial Time ALT 2021
Characterizing the implicit bias via a primal-dual analysis ALT 2021
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning ALT 2021
Self-Tuning Bandits over Unknown Covariate-Shifts ALT 2021
SGD Generalizes Better Than GD (And Regularization Doesn’t Help) COLT 2021
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities COLT 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021
Online Learning from Optimal Actions COLT 2021
Multiplayer Bandit Learning, from Competition to Cooperation COLT 2021
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices COLT 2021
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions COLT 2021
Fast Rates for Structured Prediction COLT 2021
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss COLT 2021
Optimizing Optimizers: Regret-optimal gradient descent algorithms COLT 2021
When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations? COLT 2021
Sparse sketches with small inversion bias COLT 2021
Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021
Frank-Wolfe with a Nearest Extreme Point Oracle COLT 2021
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries COLT 2021