Schiebinger, Geoffrey

1. The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems
   2015/07/06 by Boyd, Nicholas, Schiebinger, Geoffrey, Recht, Benjamin · 6 citations
   #FOS: Mathematics #Optimization and Control (math.OC)
2. Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm
   2023/07/31 by Deb, Nabarun, Kim, Young-Heon, Pal, Soumik +1 · 5 citations
   #49N99 #49Q22 #60J60 #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Probability (math.PR)
3. Trajectory Inference via Mean-field Langevin in Path Space
   2022/05/14 by Chizat, Lénaïc, Zhang, Stephen, Heitz, Matthieu +1 · 4 citations
   #90-08 (Primary) 62M99 (Secondary) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
4. Manifold Learning with Sparse Regularised Optimal Transport
   2023/07/19 by Stephen X. Zhang, Gilles Mordant, Zhang, Stephen +5 · 4 citations
   Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Markov Chains and Monte Carlo Methods
5. Towards a mathematical theory of trajectory inference
   2021/02/18 by Lavenant, Hugo, Zhang, Stephen, Kim, Young-Heon +1 · 2 citations
   #49M29 #62M20 (Primary) 62G99 #92C15 (Secondary) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Probability (math.PR) #Statistics Theory (math.ST)
6. Superresolution without Separation
   2015/06/10 by Schiebinger, Geoffrey, Robeva, Elina, Recht, Benjamin · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Optimization and Control (math.OC)
7. Statistical Optimal Transport via Factored Couplings
   2018/06/19 by Aden Forrow, Jan-Christian Hütter, Forrow, Aden +9 · 1 citation
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques
8. Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
   2024/10/30 by Vincent Guan, Joseph Janssen, Guan, Vincent +11 · 1 citation
   Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)