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Browsing by Academic Advisor Arora, Sanjeev

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Showing results 11 to 27 of 27 < previous 
Class YearAuthor(s)TitleAdvisor
2021Plevrakis, OrestisNew Exploration and Identification schemes for Linear Dynamics: the cases of Convex costs and Censored DataArora, Sanjeev
-Sachdeva, SushantNew Results in the Theory of Approximation: Fast Graph Algorithms and InapproximabilityArora, Sanjeev
-Risteski, AndrejNew Techniques for Learning and Inference in Bayesian ModelsArora, Sanjeev
-Ma, TengyuNon-convex Optimization for Machine Learning: Design, Analysis, and UnderstandingArora, Sanjeev
2016Koehler, FredericOn Provable Algorithms for Topic ModelingArora, Sanjeev
-Li, YuanzhiON THE ABILITY OF GRADIENT DESCENT TO LEARN NEURAL NETWORKSArora, Sanjeev
2015Lee, Seung Yeon LisaOn the Linear Algebraic Structure of Distributed Word RepresentationsArora, Sanjeev
2018Goldstein, MaxwellPAC-Bayes Regularization for Learning Controllers that Generalize Across EnvironmentsArora, Sanjeev; Abbe, Emmanuel
2015Tu, Brian ChangPractical Exploration of Randomized Features For Classification TasksArora, Sanjeev
2014Zhu, MichaelPredicting Netflix Movie Ratings using a Topic Modeling AlgorithmArora, Sanjeev
-Ge, RongProvable Algorithms for Machine Learning ProblemsArora, Sanjeev
2019Mehta, RahulSparse and Efficient Transfer Learning via Winning Lottery TicketsArora, Sanjeev
2019Khandeparkar, HrishikeshA Theoretical Analysis of Contrastive Unsupervised Representation LearningArora, Sanjeev
-Beck, Christopher T.Time and Space in Proof ComplexityArora, Sanjeev
2022Luo, YupingTowards Efficient and Effective Deep Model-based Reinforcement LearningArora, Sanjeev
2022Saunshi, Nikunj UmeshTowards Understanding Self-Supervised Representation LearningArora, Sanjeev
2021Hu, WeiUnderstanding Deep Learning via Analyzing Dynamics of Gradient DescentArora, Sanjeev