Optimization

Towards Certified Unlearning for Deep Neural Networks ICML 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NeurIPS 2024 Towards Efficient Exact Optimization of Language Model Alignment ICML 2024 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing NeurIPS 2024 Towards Exact Gradient-based Training on Analog In-memory Computing NeurIPS 2024 Towards Fast Cognate Alignment on Imbalanced Data COLING 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph ICML 2024 Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles ICML 2024 Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation ICLR 2024 Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NeurIPS 2024 Towards Human-aligned Evaluation for Linear Programming Word Problems COLING 2024 Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation ICML 2024 Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching ICLR 2024 Towards model-free LQR control over rate-limited channels L4DC 2024 Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework NeurIPS 2024 Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error ICML 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Towards Poisoning Fair Representations ICLR 2024 Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering ICML 2024 Towards Robust Multi-Label Learning against Dirty Label Noise IJCAI 2024 Towards Robust Out-of-Distribution Generalization Bounds via Sharpness ICLR 2024 Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024