The following pages link to author name string (P43):
Displaying 50 items.
- Practical and Consistent Estimation of f-Divergences (Q6319425) (← links)
- An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums (Q6319461) (← links)
- ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls (Q6319469) (← links)
- Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates (Q6319495) (← links)
- Why gradient clipping accelerates training: A theoretical justification for adaptivity (Q6319511) (← links)
- Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem (Q6319512) (← links)
- Competitive Gradient Descent (Q6319536) (← links)
- Optimal approximation for unconstrained non-submodular minimization (Q6319543) (← links)
- A Topology Layer for Machine Learning (Q6319554) (← links)
- Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness (Q6319555) (← links)
- Extragradient with player sampling for faster Nash equilibrium finding (Q6319582) (← links)
- A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers (Q6319599) (← links)
- Global Guarantees for Blind Demodulation with Generative Priors (Q6319602) (← links)
- Fast Reciprocal Collision Avoidance Under Measurement Uncertainty (Q6319636) (← links)
- Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem (Q6319640) (← links)
- Neural Entropic Estimation: A faster path to mutual information estimation (Q6319646) (← links)
- Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm (Q6319691) (← links)
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization (Q6319693) (← links)
- Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems (Q6319695) (← links)
- Improving the resolution of Cryo-EM single particle analysis (Q6319714) (← links)
- Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds (Q6319716) (← links)
- Learning robust control for LQR systems with multiplicative noise via policy gradient (Q6319724) (← links)
- Sparse optimal control of networks with multiplicative noise via policy gradient (Q6319725) (← links)
- ADMM for Efficient Deep Learning with Global Convergence (Q6319737) (← links)
- PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization (Q6319745) (← links)
- Data-Pooling in Stochastic Optimization (Q6319788) (← links)
- Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination (Q6319794) (← links)
- A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows (Q6319797) (← links)
- Model selection for contextual bandits (Q6319823) (← links)
- Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs (Q6319826) (← links)
- Topological Autoencoders (Q6319840) (← links)
- Big-Data Clustering: K-Means or K-Indicators? (Q6319873) (← links)
- Interacting contagions are indistinguishable from social reinforcement (Q6319898) (← links)
- A Generic Acceleration Framework for Stochastic Composite Optimization (Q6319902) (← links)
- Universal Boosting Variational Inference (Q6319910) (← links)
- Graduated Optimization of Black-Box Functions (Q6319916) (← links)
- Embedded hyper-parameter tuning by Simulated Annealing (Q6319949) (← links)
- Bayesian Optimization of Composite Functions (Q6319956) (← links)
- Robust exploration in linear quadratic reinforcement learning (Q6319965) (← links)
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (Q6319975) (← links)
- Detecting coalitions by optimally partitioning signed networks of political collaboration (Q6319985) (← links)
- PI-Net: A Deep Learning Approach to Extract Topological Persistence Images (Q6319996) (← links)
- CCMI : Classifier based Conditional Mutual Information Estimation (Q6320000) (← links)
- Primal-Dual Block Frank-Wolfe (Q6320074) (← links)
- Model predictive control with stage cost shaping inspired by reinforcement learning (Q6320091) (← links)
- Reducing the variance in online optimization by transporting past gradients (Q6320187) (← links)
- Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training (Q6320193) (← links)
- The Broad Optimality of Profile Maximum Likelihood (Q6320215) (← links)
- Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization (Q6320222) (← links)
- A kernel- and optimal transport- based test of independence between covariates and right-censored lifetimes (Q6320224) (← links)
