Optimization

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024 Towards Text-guided 3D Scene Composition CVPR 2024 Towards Tight Convex Relaxations for Contact-Rich Manipulation RSS 2024 Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024 Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion ICLR 2024 Towards Transferable Adversarial Attacks with Centralized Perturbation AAAI 2024 Toward Student-oriented Teacher Network Training for Knowledge Distillation ICLR 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy ICLR 2024 Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding AAAI 2024 Trained Random Forests Completely Reveal your Dataset ICML 2024 Training and Cross-Validating Machine Learning Pipelines with Limited Memory AutoML 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024 Training Data Attribution via Approximate Unrolling NeurIPS 2024 Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy NeurIPS 2024 Training-free Multi-objective Diffusion Model for 3D Molecule Generation ICLR 2024 Training Implicit Generative Models via an Invariant Statistical Loss AISTATS 2024 TRAM: Bridging Trust Regions and Sharpness Aware Minimization ICLR 2024 Transductive Zero-Shot and Few-Shot CLIP CVPR 2024 Transfer Q-star : Principled Decoding for LLM Alignment NeurIPS 2024 Transferring Learning Trajectories of Neural Networks ICLR 2024 Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models ICML 2024 Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context ICML 2024 Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape ICML 2024 Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression NeurIPS 2024