Optimization

Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense ICML 2022 Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming NeurIPS 2022 Damped Online Newton Step for Portfolio Selection COLT 2022 Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm ICML 2022 Decision-Focused Learning: Through the Lens of Learning to Rank ICML 2022 Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022 Distributionally-Aware Kernelized Bandit Problems for Risk Aversion ICML 2022 Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information ICLR 2022 Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions NeurIPS 2022 DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems AAAI 2022 Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution NeurIPS 2022 Efficient Riemannian Meta-Optimization by Implicit Differentiation AAAI 2022 End-to-end Symbolic Regression with Transformers NeurIPS 2022 Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems ICLR 2022 Exact Paired-Permutation Testing for Structured Test Statistics NAACL 2022 Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods JMLR 2022 Extracting Triangular 3D Models, Materials, and Lighting From Images CVPR 2022 Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity AISTATS 2022 Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022 FedNL: Making Newton-Type Methods Applicable to Federated Learning ICML 2022 Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning AISTATS 2022 Fixed-Distance Hamiltonian Monte Carlo NeurIPS 2022 FLS: A New Local Search Algorithm for K-means with Smaller Search Space IJCAI 2022 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NeurIPS 2022