Optimization

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation NeurIPS 2023 A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023 Almost Linear Constant-Factor Sketching for ℓ_1 and Logistic Regression ICLR 2023 A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning NeurIPS 2023 Alternately Optimized Graph Neural Networks ICML 2023 Alternating Differentiation for Optimization Layers ICLR 2023 Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows AAAI 2023 Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023 A Mini-Block Fisher Method for Deep Neural Networks AISTATS 2023 A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers ACML 2023 A Model-Agnostic Heuristics for Selective Classification AAAI 2023 Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023 An Adaptive Policy to Employ Sharpness-Aware Minimization ICLR 2023 An Algorithm and Complexity Results for Causal Unit Selection CLeaR 2023 An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition NeurIPS 2023 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023 Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels ICML 2023 Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning NeurIPS 2023 An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023 An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination NeurIPS 2023 An Empirical Study of Translation Hypothesis Ensembling with Large Language Models EMNLP 2023 A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs NeurIPS 2023 An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing AAAI 2023 An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023