Optimization

This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem AAAI 2024 Tight bounds for maximum ℓ_1-margin classifiers ALT 2024 Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions JMLR 2024 Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 Tight Rates for Bandit Control Beyond Quadratics NeurIPS 2024 Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024 Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration ICML 2024 Time-Constrained Robust MDPs NeurIPS 2024 tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) ICML 2024 To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO ICML 2024 To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models ICML 2024 Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models ICML 2024 Token-wise Influential Training Data Retrieval for Large Language Models ACL 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ICLR 2024 Topic Modeling as Multi-Objective Contrastive Optimization ICLR 2024 Topological obstruction to the training of shallow ReLU neural networks NeurIPS 2024 To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning EMNLP 2024 Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space IJCAI 2024 Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models NeurIPS 2024 Towards a Better Theoretical Understanding of Independent Subnetwork Training ICML 2024 Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024 Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation AAAI 2024 Towards A Unified View of Answer Calibration for Multi-Step Reasoning ACL 2024 Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components ICML 2024