Altschuler, Jason M.
- Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
2022/05/27 by Jason M. Altschuler, Altschuler, Jason M., Kunal Talwar +1 · 12 citations
Computer Science · #Age of Information Optimization #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Faster high-accuracy log-concave sampling via algorithmic warm starts
2023/02/20 by Jason M. Altschuler, Altschuler, Jason M., Sinho Chewi +1 · 10 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Analysis of PDEs (math.AP) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
- Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
2021/06/15 by Jason M. Altschuler, Altschuler, Jason M., Sinho Chewi +5 · 7 citations
Mathematics · Medicine · #Acupuncture Treatment Research Studies #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Morphological variations and asymmetry #Optimization and Control (math.OC) #Point processes and geometric inequalities
- Shifted Composition III: Local Error Framework for KL Divergence
2024/12/23 by Jason M. Altschuler, Altschuler, Jason M., Sinho Chewi +1 · 1 voice · 9 citations
#math.ST #cs.DS #cs.LG #math.NA #stat.ML
- Shifted Composition I: Harnack and Reverse Transport Inequalities
2023/11/24 by Jason M. Altschuler, Sinho Chewi, Altschuler, Jason M. +1 · 4 citations
Mathematics · Physics and Astronomy · #Markov Chains and Monte Carlo Methods #Stochastic processes and statistical mechanics #Theoretical and Computational Physics
- Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling
2025/06/29 by Altschuler, Jason M., Chewi, Sinho, Zhang, Matthew S. · 8 citations
#Analysis of PDEs (math.AP) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Probability (math.PR) #Statistics Theory (math.ST)
- Acceleration by Random Stepsizes: Hedging, Equalization, and the Arcsine Stepsize Schedule
2024/12/08 by Jason M. Altschuler, Altschuler, Jason M., Pablo A. Parrilo +1 · 1 voice · 3 citations
Computer Science · Mathematics · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC) #cs.DS #math.OC
- Polynomial-time algorithms for Multimarginal Optimal Transport problems with structure
2020/08/07 by Jason M. Altschuler, Enric Boix-Adserà, Altschuler, Jason M. +1 · 1 citation
Social Sciences · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Transportation Planning and Optimization
- Shifted Interpolation for Differential Privacy
2024/03/01 by Jinho Bok, Bok, Jinho, Weijie Su +3 · 2 citations
Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Statistics Theory (math.ST)
- Concentration of the Langevin Algorithm's Stationary Distribution
2022/12/24 by Jason M. Altschuler, Altschuler, Jason M., Kunal Talwar +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Protein Structure and Dynamics #Statistics Theory (math.ST)
- Accelerating Proximal Gradient Descent via Silver Stepsizes
2024/12/07 by Bok, Jinho, Altschuler, Jason M. · 3 citations
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC)
- Negative Stepsizes Make Gradient-Descent-Ascent Converge
2025/05/02 by Shugart, Henry, Altschuler, Jason M. · 3 citations
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling
2022/10/16 by Jason M. Altschuler, Altschuler, Jason M., Kunal Talwar +1 · 1 citation
Computer Science · Mathematics · Medicine · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Pharmacological Effects and Toxicity Studies #Privacy-Preserving Technologies in Data #Probability (math.PR) #Statistics Theory (math.ST)