676 citations · 1k across the 35 of their papers we have counts for
9 papers · 1 filter
Improving the Variance of Differentially Private Randomized Experiments through Clustering
Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie
Estimating causal effects from randomized experiments is only possible if participants are willing to disclose their potentially sensitive responses. Differential privacy, a widely…
Precise Statistical Analysis of Classification Accuracies for Adversarial Training
Adel Javanmard, Mahdi Soltanolkotabi
Despite the wide empirical success of modern machine learning algorithms and models in a multitude of applications, they are known to be highly susceptible to seemingly small indis…
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
Amin Jalali, Adel Javanmard, Maryam Fazel
Prior knowledge on properties of a target model often come as discrete or combinatorial descriptions. This work provides a unified computational framework for defining norms that p…
Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity
Adel Javanmard, Hamid Nazerzadeh, Simeng Shao
We consider the problem of multi-product dynamic pricing, in a contextual setting, for a seller of differentiated products. In this environment, the customers arrive over time and…
Dynamic Pricing in High-dimensions
Adel Javanmard, Hamid Nazerzadeh
We study the pricing problem faced by a firm that sells a large number of products, described via a wide range of features, to customers that arrive over time. Customers independen…
Performance of a community detection algorithm based on semidefinite programming
Adel Javanmard, Andrea Montanari, Federico Ricci-Tersenghi
The problem of detecting communities in a graph is maybe one the most studied inference problems, given its simplicity and widespread diffusion among several disciplines. A very co…
1-Bit Matrix Completion under Exact Low-Rank Constraint
Sonia Bhaskar, Adel Javanmard
We consider the problem of noisy 1-bit matrix completion under an exact rank constraint on the true underlying matrix . Instead of observing a subset of the noisy continuous-v…
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy
We study the problem of adaptive control of a high dimensional linear quadratic (LQ) system. Previous work established the asymptotic convergence to an optimal controller for vario…
Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints
Animashree Anandkumar, Daniel Hsu, Adel Javanmard +1
Unsupervised estimation of latent variable models is a fundamental problem central to numerous applications of machine learning and statistics. This work presents a principled appr…