Tosh, Christopher

1. Contrastive learning, multi-view redundancy, and linear models
   2020/08/24 by Tosh, Christopher, Krishnamurthy, Akshay, Hsu, Daniel · 7 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Bayesian decision-making under misspecified priors with applications to meta-learning
   2021/07/03 by Simchowitz, Max, Tosh, Christopher, Krishnamurthy, Akshay +4 · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
3. Simple and near-optimal algorithms for hidden stratification and multi-group learning
   2021/12/22 by Tosh, Christopher, Hsu, Daniel · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Diameter-Based Active Learning
   2017/02/27 by Tosh, Christopher, Dasgupta, Sanjoy · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Contrastive estimation reveals topic posterior information to linear models
   2020/03/04 by Tosh, Christopher, Krishnamurthy, Akshay, Hsu, Daniel · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Robustifying likelihoods by optimistically re-weighting data
   2023/03/19 by Miheer Dewaskar, Dewaskar, Miheer, Christopher Tosh +5 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Machine Learning and Algorithms #Statistical Distribution Estimation and Applications
7. The piranha problem: Large effects swimming in a small pond
   2021/05/27 by Tosh, Christopher, Greengard, Philip, Goodrich, Ben +3 · 3 voices
   #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Statistics Theory (math.ST)