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Optimization

14,983 papers

Papers per year

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Papers

Optimal Sketching for Trace Estimation NIPS 2021
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction NIPS 2021
Efficient Combination of Rematerialization and Offloading for Training DNNs NIPS 2021
Well-tuned Simple Nets Excel on Tabular Datasets NIPS 2021
Multiwavelet-based Operator Learning for Differential Equations NIPS 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NIPS 2021
Communication-efficient SGD: From Local SGD to One-Shot Averaging NIPS 2021
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NIPS 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks NIPS 2021
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge NIPS 2021
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NIPS 2021
Active Offline Policy Selection NIPS 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces NIPS 2021
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees NIPS 2021
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NIPS 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NIPS 2021
Learning Hard Optimization Problems: A Data Generation Perspective NIPS 2021
Never Go Full Batch (in Stochastic Convex Optimization) NIPS 2021
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NIPS 2021
Robust Optimization for Multilingual Translation with Imbalanced Data NIPS 2021
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation NIPS 2021
Second-Order Neural ODE Optimizer NIPS 2021
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems NIPS 2021
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes NIPS 2021
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NIPS 2021