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Browsing by Academic Advisor Arora, Sanjeev
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Showing results 11 to 27 of 27
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Class Year
Author(s)
Title
Advisor
2021
Plevrakis, Orestis
New Exploration and Identification schemes for Linear Dynamics: the cases of Convex costs and Censored Data
Arora, Sanjeev
-
Sachdeva, Sushant
New Results in the Theory of Approximation: Fast Graph Algorithms and Inapproximability
Arora, Sanjeev
-
Risteski, Andrej
New Techniques for Learning and Inference in Bayesian Models
Arora, Sanjeev
-
Ma, Tengyu
Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding
Arora, Sanjeev
2016
Koehler, Frederic
On Provable Algorithms for Topic Modeling
Arora, Sanjeev
-
Li, Yuanzhi
ON THE ABILITY OF GRADIENT DESCENT TO LEARN NEURAL NETWORKS
Arora, Sanjeev
2015
Lee, Seung Yeon Lisa
On the Linear Algebraic Structure of Distributed Word Representations
Arora, Sanjeev
2018
Goldstein, Maxwell
PAC-Bayes Regularization for Learning Controllers that Generalize Across Environments
Arora, Sanjeev
;
Abbe, Emmanuel
2015
Tu, Brian Chang
Practical Exploration of Randomized Features For Classification Tasks
Arora, Sanjeev
2014
Zhu, Michael
Predicting Netflix Movie Ratings using a Topic Modeling Algorithm
Arora, Sanjeev
-
Ge, Rong
Provable Algorithms for Machine Learning Problems
Arora, Sanjeev
2019
Mehta, Rahul
Sparse and Efficient Transfer Learning via Winning Lottery Tickets
Arora, Sanjeev
2019
Khandeparkar, Hrishikesh
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Arora, Sanjeev
-
Beck, Christopher T.
Time and Space in Proof Complexity
Arora, Sanjeev
2022
Luo, Yuping
Towards Efficient and Effective Deep Model-based Reinforcement Learning
Arora, Sanjeev
2022
Saunshi, Nikunj Umesh
Towards Understanding Self-Supervised Representation Learning
Arora, Sanjeev
2021
Hu, Wei
Understanding Deep Learning via Analyzing Dynamics of Gradient Descent
Arora, Sanjeev