Lacotte, Jonathan

1. Risk-Sensitive Generative Adversarial Imitation Learning
   2018/08/13 by Jonathan Lacotte, Mohammad Ghavamzadeh, Lacotte, Jonathan +5 · 4 citations
   Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
2. Risk-sensitive Inverse Reinforcement Learning via Semi- and\n Non-Parametric Methods
   2017/11/27 by Sumeet Singh, Jonathan Lacotte, Singh, Sumeet +5 · 2 citations
   Engineering · #Traffic and Road Safety
3. A Risk-Sensitive Finite-Time Reachability Approach for Safety of\n Stochastic Dynamic Systems
   2019/02/28 by Margaret P. Chapman, Jonathan Lacotte, Chapman, Margaret P. +17 · 2 citations
   Decision Sciences · Engineering · #FOS: Electrical engineering #Infrastructure Resilience and Vulnerability Analysis #Probabilistic and Robust Engineering Design #Risk and Safety Analysis #Systems and Control (eess.SY) #electronic engineering #information engineering
4. Faster Least Squares Optimization
   2019/11/06 by Lacotte, Jonathan, Pilanci, Mert · 1 citation
   #Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
5. Optimal Randomized First-Order Methods for Least-Squares Problems
   2020/02/21 by Jonathan Lacotte, Mert Pilancı, Lacotte, Jonathan +1 · 1 citation
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
6. Fast Convex Quadratic Optimization Solvers with Adaptive Sketching-based\n Preconditioners
   2021/04/29 by Jonathan Lacotte, Mert Pilancı, Lacotte, Jonathan +1 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
7. Adaptive Newton Sketch: Linear-time Optimization with Quadratic\n Convergence and Effective Hessian Dimensionality
   2021/05/15 by Jonathan Lacotte, Lacotte, Jonathan, Yifei Wang +3 · 1 citation
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Face and Expression Recognition
8. Globally Optimal Training of Neural Networks with Threshold Activation Functions
   2023/03/06 by Tolga Ergen, Halil Ibrahim Gulluk, Ergen, Tolga +5 · 1 citation
   Computer Science · Mathematics · Engineering · #Stochastic Gradient Optimization Techniques #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques