Optimization

Provable Generalization of Overparameterized Meta-learning Trained with SGD NeurIPS 2022 Provable Tensor-Train Format Tensor Completion by Riemannian Optimization JMLR 2022 Provably Efficient Model-Free Constrained RL with Linear Function Approximation NeurIPS 2022 Provably Robust Adversarial Examples ICLR 2022 Provably tuning the ElasticNet across instances NeurIPS 2022 Proxima: An Approach for Time or Accuracy Budgeted Collision Proximity Queries RSS 2022 Proximal and Federated Random Reshuffling ICML 2022 Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization ICML 2022 Proximal Exploration for Model-guided Protein Sequence Design ICML 2022 Proximal Optimal Transport Modeling of Population Dynamics AISTATS 2022 Proximal Point Imitation Learning NeurIPS 2022 ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! ICML 2022 Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions NeurIPS 2022 Pseudo Numerical Methods for Diffusion Models on Manifolds ICLR 2022 P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022 Public Data-Assisted Mirror Descent for Private Model Training ICML 2022 Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States COLT 2022 Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees CVPR 2022 Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning ICML 2022 Quality-Aware Decoding for Neural Machine Translation NAACL 2022 Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging CVPR 2022 Quasi-Newton Methods for Saddle Point Problems NeurIPS 2022 RaDur: A Reference-aware and Duration-robust Network for Target Sound Detection Interspeech 2022 Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means NeurIPS 2022