Optimization

Resilient Binary Neural Network AAAI 2023 Resilient Constrained Learning NeurIPS 2023 Responsible AI (RAI) Games and Ensembles NeurIPS 2023 Restricted Strong Convexity of Deep Learning Models with Smooth Activations ICLR 2023 Rethink DARTS Search Space and Renovate a New Benchmark ICML 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 Rethinking Gauss-Newton for learning over-parameterized models NeurIPS 2023 Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling CVPR 2023 Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms ICLR 2023 Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization ICML 2023 Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations NeurIPS 2023 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023 Revisiting Implicit Differentiation for Learning Problems in Optimal Control NeurIPS 2023 Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023 Revisiting Pathologies of Neural Models under Input Reduction ACL 2023 REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH ICLR 2023 Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution CVPR 2023 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NeurIPS 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy ICCV 2023 Revisiting Training-Free NAS Metrics: An Efficient Training-Based Method WACV 2023 Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care AAAI 2023 Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards NeurIPS 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 REx: Data-Free Residual Quantization Error Expansion NeurIPS 2023