Beznosikov, Aleksandr

1. Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
   2024/04/04 by Andrei Semenov, Semenov, Andrei, Владимир Иванов +5 · 3 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
2. Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
   2024/06/06 by Savelii Chezhegov, Yaroslav Klyukin, Chezhegov, Savelii +13 · 3 citations
   Computer Science · Neuroscience · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Neural dynamics and brain function #Optimization and Control (math.OC)
3. Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
   2022/02/15 by Beznosikov, Aleksandr, Gorbunov, Eduard, Berard, Hugo +1 · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
4. FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
   2024/11/12 by Zmushko, Philip, Beznosikov, Aleksandr, Takáč, Martin +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Variance Reduction Methods Do Not Need to Compute Full Gradients: Improved Efficiency through Shuffling
   2025/02/20 by Medyakov, Daniil, Molodtsov, Gleb, Chezhegov, Savelii +2 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)