Optimization

Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints NeurIPS 2022 Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation AISTATS 2022 TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network Interspeech 2022 tntorch: Tensor Network Learning with PyTorch JMLR 2022 Total Variation Optimization Layers for Computer Vision CVPR 2022 To update or not to update? Neurons at equilibrium in deep models NeurIPS 2022 Toward Efficient Robust Training against Union of ℓ_p Threat Models NeurIPS 2022 Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis NeurIPS 2022 Toward Physically Realizable Quantum Neural Networks AAAI 2022 Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples ACL 2022 Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise AISTATS 2022 Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022 Towards a Robust Differentiable Architecture Search Under Label Noise WACV 2022 Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector CVPR 2022 Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence CVPR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 Towards Error-Resilient Neural Speech Coding Interspeech 2022 Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022 Towards Evaluating the Robustness of Neural Networks Learned by Transduction ICLR 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers NeurIPS 2022 Towards New Optimized Artificial Immune Recognition Systems under the Belief Function Theory IJCAI 2022 Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent ICML 2022 Towards Optimal Communication Complexity in Distributed Non-Convex Optimization NeurIPS 2022 Towards painless policy optimization for constrained MDPs UAI 2022 Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022