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Adil Salim

  1. Textbooks Are All You Need
    2023/06/20 by Suriya Gunasekar, Gunasekar, Suriya, Yi Zhang +35 · 11 voices · 60 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  2. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
    2024/04/22 by Marah Abdin, Abdin, Marah, Jyoti Aneja +262 · 8 voices · 329 citations
    Computer Science · #Computational Physics and Python Applications
  3. Phi-4 Technical Report
    2024/12/12 by Marah Abdin, Abdin, Marah, Jyoti Aneja +51 · 4 voices · 187 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
  4. The probability flow ODE is provably fast
    2023/05/19 by Sitan Chen, Sinho Chewi, Chen, Sitan +9 · 23 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
  5. Maximum Mean Discrepancy Gradient Flow
    2019/06/11 by Michael Arbel, Arbel, Michael, Anna Korba +5 · 13 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Image and Signal Denoising Methods
  6. Improved analysis for a proximal algorithm for sampling
    2022/02/13 by Yongxin Chen, Chen, Yongxin, Sinho Chewi +5 · 15 citations
    Computer Science · Engineering · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
  7. Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
    2020/06/21 by Dmitry Kovalev, Kovalev, Dmitry, Adil Salim +3 · 7 citations
    Computer Science · Engineering · Medicine · #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optical Imaging and Spectroscopy Techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  8. A Non-Asymptotic Analysis for Stein Variational Gradient Descent
    2020/06/17 by Anna Korba, Adil Salim, Korba, Anna +7 · 6 citations
    Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Random Matrices and Applications
  9. Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo
    2022/02/10 by Krishnakumar Balasubramanian, Balasubramanian, Krishnakumar, Sinho Chewi +7 · 6 citations
    Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
  10. A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
    2021/06/06 by Adil Salim, Lukang Sun, Salim, Adil +3 · 4 citations
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Random Matrices and Applications #Stochastic Gradient Optimization Techniques
  11. Distributed Fixed Point Methods with Compressed Iterates
    2019/12/20 by Sélim Chraibi, Ahmed Khaled, Chraibi, Sélim +9 · 2 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Parallel #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  12. An Optimal Algorithm for Strongly Convex Minimization under Affine\n Constraints
    2021/02/22 by Adil Salim, Laurent Condat, Salim, Adil +5 · 2 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Medical Image Segmentation Techniques
  13. On the complexity of finding stationary points of smooth functions in one dimension
    2022/09/15 by Sinho Chewi, Sébastien Bubeck, Chewi, Sinho +3 · 2 citations
    Computer Science · #Complexity and Algorithms in Graphs #FOS: Mathematics #Machine Learning and Algorithms #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  14. Gaussian random field approximation via Stein's method with applications to wide random neural networks
    2023/06/28 by Krishnakumar Balasubramanian, Larry Goldstein, Balasubramanian, Krishnakumar +5 · 2 citations
    Computer Science · Environmental Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Groundwater flow and contamination studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Statistics Theory (math.ST)