Optimization

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization AutoML 2023 Pushing the Efficiency Limit Using Structured Sparse Convolutions WACV 2023 PyPose: A Library for Robot Learning With Physics-Based Optimization CVPR 2023 Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling ICML 2023 QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition ACL 2023 Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML AutoML 2023 qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023 Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows ICML 2023 QLoRA: Efficient Finetuning of Quantized LLMs NeurIPS 2023 QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning NeurIPS 2023 QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks NeurIPS 2023 Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks AAAI 2023 Quantized Compressed Sensing with Score-Based Generative Models ICLR 2023 Quantized Distributed Training of Large Models with Convergence Guarantees ICML 2023 QuAnt: Quantum Annealing with Learnt Couplings ICLR 2023 QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms ICML 2023 Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets AAAI 2023 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023 QuIP: 2-Bit Quantization of Large Language Models With Guarantees NeurIPS 2023 Random Feature Neural Networks Learn Black-Scholes Type PDEs Without Curse of Dimensionality JMLR 2023 Randomized Positional Encodings Boost Length Generalization of Transformers ACL 2023 Randomized Primal-Dual Methods with Adaptive Step Sizes AISTATS 2023 Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks NeurIPS 2023 Random Laplacian Features for Learning with Hyperbolic Space ICLR 2023 Random Reshuffling with Variance Reduction: New Analysis and Better Rates UAI 2023