Optimization

Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization ICML 2023 The Power of Regularization in Solving Extensive-Form Games ICLR 2023 The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only NeurIPS 2023 Thermal Spread Functions (TSF): Physics-Guided Material Classification CVPR 2023 The Saddle-Point Method in Differential Privacy ICML 2023 The Schrödinger Bridge between Gaussian Measures has a Closed Form AISTATS 2023 The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium ICLR 2023 The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance NeurIPS 2023 TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization ICLR 2023 Tight Bounds for Volumetric Spanners and Applications NeurIPS 2023 Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations ICML 2023 Tight Data Access Bounds for Private Top-k Selection ICML 2023 Tighter Analysis for ProxSkip ICML 2023 Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond ICML 2023 Tighter Robust Upper Bounds for Options via No-Regret Learning AAAI 2023 TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models ICCV 2023 Time Dependent Inverse Optimal Control using Trigonometric Basis Functions L4DC 2023 Time Optimal Ergodic Search RSS 2023 Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value NeurIPS 2023 TIPI: Test Time Adaptation With Transformation Invariance CVPR 2023 TIPS: Topologically Important Path Sampling for Anytime Neural Networks ICML 2023 Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training CVPR 2023 Tokenization with Factorized Subword Encoding ACL 2023