Optimization

Rethinking Adversarial Transferability from a Data Distribution Perspective ICLR 2022 Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022 Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NeurIPS 2022 Rethinking Optimization with Differentiable Simulation from a Global Perspective CoRL 2022 Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection CVPR 2022 Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough AAAI 2022 Return of the bias: Almost minimax optimal high probability bounds for adversarial linear bandits COLT 2022 Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees ICML 2022 Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning JMLR 2022 Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022 Revisiting Checkpoint Averaging for Neural Machine Translation AACL 2022 Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness ICML 2022 Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NeurIPS 2022 Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution NeurIPS 2022 Revisit last-iterate convergence of mSGD under milder requirement on step size NeurIPS 2022 Reward-Free Policy Space Compression for Reinforcement Learning AISTATS 2022 Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022 Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation ACL 2022 Reward-Weighted Regression Converges to a Global Optimum AAAI 2022 Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022 Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime NeurIPS 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022 RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks RSS 2022 Robust φ-Divergence MDPs NeurIPS 2022