Optimization

Taylor TD-learning NeurIPS 2023 TD Convergence: An Optimization Perspective NeurIPS 2023 Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization ICML 2023 Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training NeurIPS 2023 Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation ICCV 2023 Temporal Dynamic Quantization for Diffusion Models NeurIPS 2023 Temporal Robustness against Data poisoning NeurIPS 2023 Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023 Tensor decomposition for minimization of E2E SLU model toward on-device processing Interspeech 2023 TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization ICLR 2023 The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks ICLR 2023 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023 The case for 4-bit precision: k-bit Inference Scaling Laws ICML 2023 The Computational Complexity of Finding Stationary Points in Non-Convex Optimization COLT 2023 The Crucial Role of Normalization in Sharpness-Aware Minimization NeurIPS 2023 The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection CVPR 2023 The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima JMLR 2023 The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games NeurIPS 2023 The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment EMNLP 2023 The Ideal Continual Learner: An Agent That Never Forgets ICML 2023 The Impact of Positional Encoding on Length Generalization in Transformers NeurIPS 2023 The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback L4DC 2023 The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks ICLR 2023 The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023 Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences ICCV 2023