convex optimization

A New Branch-and-Bound Pruning Framework for ℓ_0-Regularized Problems ICML 2024 A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NeurIPS 2024 A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles ICML 2024 Bounding causal effects with leaky instruments UAI 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization COLT 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data NeurIPS 2024 Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning ICML 2024 Convexity Certificates for Symbolic Tensor Expressions IJCAI 2024 Convex neural network synthesis for robustness in the 1-norm L4DC 2024 CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks NeurIPS 2024 Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition ICLR 2024 Differentially Private Domain Adaptation with Theoretical Guarantees ICML 2024 Differentially Private Optimization with Sparse Gradients NeurIPS 2024 Directional Smoothness and Gradient Methods: Convergence and Adaptivity NeurIPS 2024 Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control L4DC 2024 Dual Lagrangian Learning for Conic Optimization NeurIPS 2024 Dueling Optimization with a Monotone Adversary ALT 2024 EControl: Fast Distributed Optimization with Compression and Error Control ICLR 2024 Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024 Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NeurIPS 2024 Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024 Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024