Amin Karbasi

is this you? claim profile

∙ 0 followers
EPFL ∙ ETH Zurich ∙ Yale University

Assistant Professor at Yale University

More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models

Despite remarkable success in practice, modern machine learning models h...
02/11/2020 ∙ by Lin Chen, et al. ∙ 38 ∙ share

read it
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback

In this paper, we propose three online algorithms for submodular maximis...
10/28/2019 ∙ by Mingrui Zhang, et al. ∙ 16 ∙ share

read it
Adaptivity in Adaptive Submodularity

Adaptive sequential decision making is one of the central challenges in ...
11/09/2019 ∙ by Hossein Esfandiari, et al. ∙ 12 ∙ share

read it
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition

We study the problem of switching-constrained online convex optimization...
10/24/2019 ∙ by Lin Chen, et al. ∙ 11 ∙ share

read it
Regularized Submodular Maximization at Scale

In this paper, we propose scalable methods for maximizing a regularized ...
02/10/2020 ∙ by Ehsan Kazemi, et al. ∙ 11 ∙ share

read it
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization

Despite remarkable success, deep neural networks are sensitive to human-...
02/25/2020 ∙ by Yifei Min, et al. ∙ 10 ∙ share

read it
Submodular Maximization Through Barrier Functions

In this paper, we introduce a novel technique for constrained submodular...
02/10/2020 ∙ by Ashwinkumar Badanidiyuru, et al. ∙ 9 ∙ share

read it
Adaptive Sequence Submodularity

In many machine learning applications, one needs to interactively select...
02/15/2019 ∙ by Marko Mitrovic, et al. ∙ 8 ∙ share

read it
One Sample Stochastic Frank-Wolfe

One of the beauties of the projected gradient descent method lies in its...
10/10/2019 ∙ by Mingrui Zhang, et al. ∙ 7 ∙ share

read it
Black Box Submodular Maximization: Discrete and Continuous Settings

In this paper, we consider the problem of black box continuous submodula...
01/28/2019 ∙ by Lin Chen, et al. ∙ 6 ∙ share

read it
Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity

Streaming algorithms are generally judged by the quality of their soluti...
05/02/2019 ∙ by Ehsan Kazemi, et al. ∙ 4 ∙ share

read it
Eliminating Latent Discrimination: Train Then Mask

How can we control for latent discrimination in predictive models? How c...
11/12/2018 ∙ by Soheil Ghili, et al. ∙ 2 ∙ share

read it
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?

Submodular functions are a broad class of set functions, which naturally...
07/13/2017 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Noise Facilitation in Associative Memories of Exponential Capacity

Recent advances in associative memory design through structured pattern ...
03/13/2014 ∙ by Amin Karbasi, et al. ∙ 0 ∙ share

read it
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly

In many machine learning applications, it is important to explain the pr...
03/08/2017 ∙ by Ethan R. Elenberg, et al. ∙ 0 ∙ share

read it
Neural Networks Built from Unreliable Components

Recent advances in associative memory design through strutured pattern s...
01/26/2013 ∙ by Amin Karbasi, et al. ∙ 0 ∙ share

read it
Coupled Neural Associative Memories

We propose a novel architecture to design a neural associative memory th...
01/08/2013 ∙ by Amin Karbasi, et al. ∙ 0 ∙ share

read it
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting

In this paper, we consider the problem of actively learning a linear cla...
03/11/2016 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Estimating the Size of a Large Network and its Communities from a Random Sample

Most real-world networks are too large to be measured or studied directl...
10/26/2016 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling

Learning about the social structure of hidden and hard-to-reach populati...
11/13/2015 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Distributed Submodular Maximization

Many large-scale machine learning problems--clustering, non-parametric l...
11/03/2014 ∙ by Baharan Mirzasoleiman, et al. ∙ 0 ∙ share

read it
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning

Faced with massive data, is it possible to trade off (statistical) risk,...
05/02/2016 ∙ by Mario Lucic, et al. ∙ 0 ∙ share

read it
Submodular Variational Inference for Network Reconstruction

In real-world and online social networks, individuals receive and transm...
03/29/2016 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Convolutional Neural Associative Memories: Massive Capacity with Noise Tolerance

The task of a neural associative memory is to retrieve a set of previous...
07/24/2014 ∙ by Amin Karbasi, et al. ∙ 0 ∙ share

read it
Near Optimal Bayesian Active Learning for Decision Making

How should we gather information to make effective decisions? We address...
02/24/2014 ∙ by Shervin Javdani, et al. ∙ 0 ∙ share

read it
Fast Mixing for Discrete Point Processes

We investigate the systematic mechanism for designing fast mixing Markov...
06/06/2015 ∙ by Patrick Rebeschini, et al. ∙ 0 ∙ share

read it
Multi-Level Error-Resilient Neural Networks with Learning

The problem of neural network association is to retrieve a previously me...
02/13/2012 ∙ by Amir Hesam Salavati, et al. ∙ 0 ∙ share

read it
Comparison-Based Learning with Rank Nets

We consider the problem of search through comparisons, where a user is p...
06/18/2012 ∙ by Amin Karbasi, et al. ∙ 0 ∙ share

read it
From Small-World Networks to Comparison-Based Search

The problem of content search through comparisons has recently received ...
07/15/2011 ∙ by Amin Karbasi, et al. ∙ 0 ∙ share

read it
Deletion-Robust Submodular Maximization at Scale

Can we efficiently extract useful information from a large user-generate...
11/20/2017 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

read it
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity

Online optimization has been a successful framework for solving large-sc...
02/22/2018 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Submodularity on Hypergraphs: From Sets to Sequences

In a nutshell, submodular functions encode an intuitive notion of dimini...
02/26/2018 ∙ by Marko Mitrovic, et al. ∙ 0 ∙ share

read it
Online Continuous Submodular Maximization

In this paper, we consider an online optimization process, where the obj...
02/16/2018 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Comparison Based Learning from Weak Oracles

There is increasing interest in learning algorithms that involve interac...
02/20/2018 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

read it
Do Less, Get More: Streaming Submodular Maximization with Subsampling

In this paper, we develop the first one-pass streaming algorithm for sub...
02/20/2018 ∙ by Moran Feldman, et al. ∙ 0 ∙ share

read it
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization

This paper considers stochastic optimization problems for a large class ...
04/24/2018 ∙ by Aryan Mokhtari, et al. ∙ 0 ∙ share

read it
Projection-Free Bandit Convex Optimization

In this paper, we propose the first computationally efficient projection...
05/18/2018 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Data Summarization at Scale: A Two-Stage Submodular Approach

The sheer scale of modern datasets has resulted in a dire need for summa...
06/07/2018 ∙ by Marko Mitrovic, et al. ∙ 0 ∙ share

read it
Unconstrained Submodular Maximization with Constant Adaptive Complexity

In this paper, we consider the unconstrained submodular maximization pro...
11/15/2018 ∙ by Lin Chen, et al. ∙ 0 ∙ share

read it
Stochastic Conditional Gradient++

In this paper, we develop Stochastic Continuous Greedy++ (SCG++), the fi...
02/19/2019 ∙ by Hamed Hassani, et al. ∙ 0 ∙ share

read it
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization

How can we efficiently mitigate the overhead of gradient communications ...
02/17/2019 ∙ by Mingrui Zhang, et al. ∙ 0 ∙ share

read it
Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications

It is generally believed that submodular functions -- and the more gener...
04/19/2019 ∙ by Christopher Harshaw, et al. ∙ 0 ∙ share

read it
Batched Multi-Armed Bandits with Optimal Regret

We present a simple and efficient algorithm for the batched stochastic m...
10/11/2019 ∙ by Hossein Esfandiari, et al. ∙ 0 ∙ share

read it
Streaming Submodular Maximization under a k-Set System Constraint

In this paper, we propose a novel framework that converts streaming algo...
02/09/2020 ∙ by Ran Haba, et al. ∙ 0 ∙ share

read it

Amin Karbasi

Featured Co-authors