Jason M. Klusowski

1. Approximation by Combinations of ReLU and Squared ReLU Ridge Functions\n with \ℓ¹ and \ℓ⁰ Controls
   2016/07/26 by Jason M. Klusowski, Andrew R. Barron, Klusowski, Jason M. +1 · 9 citations
   Computer Science · Decision Sciences · Engineering · #41A15 #62M45 #FOS: Computer and information sciences #FOS: Mathematics #Image and Signal Denoising Methods #Machine Learning (stat.ML) #Probabilistic and Robust Engineering Design #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
2. Large Scale Prediction with Decision Trees
   2021/04/28 by Jason M. Klusowski, Klusowski, Jason M., Tian, Peter M. · 3 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistics Theory (math.ST)
3. Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation
   2019/02/02 by Andrew R. Barron, Barron, Andrew R., Jason M. Klusowski +1 · 2 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Graph theory and applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques #VLSI and FPGA Design Techniques
4. Statistical Guarantees for Estimating the Centers of a Two-component Gaussian Mixture by EM
   2016/08/07 by Jason M. Klusowski, W. D. Brinda, Klusowski, Jason M. +1 · 2 citations
   Computer Science · Mathematics · #62F10 #62F15 #68W40 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
5. One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
   2024/11/16 by Zihao Li, Yuan Cao, Li, Zihao +13 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Optimization and Control (math.OC)
6. Sparse learning with CART
   2020/06/07 by Jason M. Klusowski, Klusowski, Jason M. · 1 citation
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications #Statistical Methods and Inference #Statistics Theory (math.ST)
7. Global Convergence in Training Large-Scale Transformers
   2024/10/31 by Cheng Gao, Yuan Cao, Gao, Cheng +13 · 2 citations
   Computer Science · Engineering · #35Q93 #3D Shape Modeling and Analysis #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
8. On the Implicit Bias of Adam
   2023/08/31 by Matias D. Cattaneo, Jason M. Klusowski, Cattaneo, Matias D. +3 · 1 citation
   Physics and Astronomy · Mathematics · Engineering · #Model Reduction and Neural Networks #Numerical methods in inverse problems #Numerical methods in engineering
9. Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies
   2024/10/04 by Sijin Chen, Chen, Sijin, Omar Hagrass +3 · 1 citation
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multi-Agent Systems and Negotiation