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Browsing by Academic Advisor Arora, Sanjeev
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Showing results 1 to 20 of 32
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Class Year
Author(s)
Title
Advisor
-
Manokaran, Rajsekar
Approximability and Mathematical Relaxations
Arora, Sanjeev
2005
Orecchia, Lorenzo
Approximating the Sparsest Cut
Arora, Sanjeev
2016
Khodak, Mikhail
Automated WordNet Construction using Vector Representations of Words
Arora, Sanjeev
2012
Risteski, Andrej
Bounds on A Generalization of a Hierarchy by Lovasz and Schrijver
Arora, Sanjeev
2022
Li, Zhiyuan
Bridging Theory and Practice in Deep Learning: Optimization and Generalization
Arora, Sanjeev
2015
Simchowitz, Max
Dictionary Learning and Anti-Concentration
Arora, Sanjeev
2001
Chang, Kevin L.
Efficient Approximation Algorithms for the Degree-Restricted Minimum Spanning Tree Problem and the Red-Blue Separation Problem
Arora, Sanjeev
2024
Yu, Dingli
Efficient Scaling of Large Models: Principles in Optimization and Data Aspects
Arora, Sanjeev
2005
Dinitz, Michael
Empirical Analysis of an Approximation Algorithm for SPARSEST-CUT
Arora, Sanjeev
2024
Yu, Jiatong
How to train your instruction-following text encoder without labeling
Arora, Sanjeev
2024
Lyu, Kaifeng
Implicit Bias of Deep Learning Optimization: A Mathematical Examination
Arora, Sanjeev
2016
Vodrahalli, Kiran N
Low-dimensional Representations of Semantic Context in Language and the Brain
Arora, Sanjeev
;
Norman, Ken
-
Lee, Holden
MCMC algorithms for sampling from multimodal and changing distributions
Arora, Sanjeev
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
2024
Xu, Nancy
On the Implicit Bias of Deterministic and Stochastic Gradient Descent
van Handel, Ramon
;
Arora, Sanjeev