Babak Hassibi

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California Institute of Technology

Professor and Executive Officer of Electrical Engineering at Caltech

Regret-Optimal Filtering

We consider the problem of filtering in linear state-space models (e.g.,...
01/25/2021 ∙ by Oron Sabag, et al. ∙ 12 ∙ share

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Stability and Identification of Random Asynchronous Linear Time-Invariant Systems

In many computational tasks and dynamical systems, asynchrony and random...
12/08/2020 ∙ by Sahin Lale, et al. ∙ 3 ∙ share

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Robustifying Binary Classification to Adversarial Perturbation

Despite the enormous success of machine learning models in various appli...
10/29/2020 ∙ by Fariborz Salehi, et al. ∙ 2 ∙ share

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The Performance Analysis of Generalized Margin Maximizer (GMM) on Separable Data

Logistic models are commonly used for binary classification tasks. The s...
10/29/2020 ∙ by Fariborz Salehi, et al. ∙ 0 ∙ share

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Regret-optimal control in dynamic environments

We consider the control of linear time-varying dynamical systems from th...
10/20/2020 ∙ by Gautam Goel, et al. ∙ 0 ∙ share

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Explore More and Improve Regret in Linear Quadratic Regulators

Stabilizing the unknown dynamics of a control system and minimizing regr...
07/23/2020 ∙ by Sahin Lale, et al. ∙ 27 ∙ share

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Support Constrained Generator Matrices of Gabidulin Codes in Characteristic Zero

Gabidulin codes over fields of characteristic zero were recently constru...
04/29/2020 ∙ by Hikmet Yildiz, et al. ∙ 0 ∙ share

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Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems

We study the problem of adaptive control in partially observable linear ...
03/25/2020 ∙ by Sahin Lale, et al. ∙ 4 ∙ share

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Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems

We study the problem of adaptive control in partially observable linear ...
03/12/2020 ∙ by Sahin Lale, et al. ∙ 4 ∙ share

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The Power of Linear Controllers in LQR Control

The Linear Quadratic Regulator (LQR) framework considers the problem of ...
02/07/2020 ∙ by Gautam Goel, et al. ∙ 0 ∙ share

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Achieving the fundamental convergence-communication tradeoff with Differentially Quantized Gradient Descent

The problem of reducing the communication cost in distributed training t...
02/06/2020 ∙ by Chung-Yi Lin, et al. ∙ 9 ∙ share

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Regret Minimization in Partially Observable Linear Quadratic Control

We study the problem of regret minimization in partially observable line...
01/31/2020 ∙ by Sahin Lale, et al. ∙ 13 ∙ share

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Universality in Learning from Linear Measurements

We study the problem of recovering a structured signal from independentl...
06/20/2019 ∙ by Ehsan Abbasi, et al. ∙ 0 ∙ share

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Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization

Most modern learning problems are highly overparameterized, meaning that...
06/10/2019 ∙ by Navid Azizan, et al. ∙ 0 ∙ share

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The Impact of Regularization on High-dimensional Logistic Regression

Logistic regression is commonly used for modeling dichotomous outcomes. ...
06/10/2019 ∙ by Fariborz Salehi, et al. ∙ 4 ∙ share

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A Stochastic Interpretation of Stochastic Mirror Descent: Risk-Sensitive Optimality

Stochastic mirror descent (SMD) is a fairly new family of algorithms tha...
04/03/2019 ∙ by Navid Azizan, et al. ∙ 6 ∙ share

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Gabidulin Codes with Support Constrained Generator Matrices

Gabidulin codes are the only known general construction of linear codes ...
03/22/2019 ∙ by Hikmet Yildiz, et al. ∙ 0 ∙ share

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MOCZ for Blind Short-Packet Communication: Some Practical Aspects

We will investigate practical aspects for a recently introduced blind (n...
02/08/2019 ∙ by Philipp Walk, et al. ∙ 0 ∙ share

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Stochastic Linear Bandits with Hidden Low Rank Structure

High-dimensional representations often have a lower dimensional underlyi...
01/28/2019 ∙ by Sahin Lale, et al. ∙ 18 ∙ share

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Algorithms for Optimal Control with Fixed-Rate Feedback

We consider a discrete-time linear quadratic Gaussian networked control ...
09/13/2018 ∙ by Anatoly Khina, et al. ∙ 0 ∙ share

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Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization

Stochastic descent methods (of the gradient and mirror varieties) have b...
06/04/2018 ∙ by Navid Azizan, et al. ∙ 0 ∙ share

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Noncoherent Short-Packet Communication via Modulation on Conjugated Zeros

We introduce a novel blind (noncoherent) communication scheme, called mo...
05/21/2018 ∙ by Philipp Walk, et al. ∙ 0 ∙ share

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Optimum Linear Codes with Support Constraints over Small Fields

We consider the problem of designing optimal linear codes (in terms of h...
03/10/2018 ∙ by Hikmet Yildiz, et al. ∙ 0 ∙ share

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Further Progress on the GM-MDS Conjecture for Reed-Solomon Codes

Designing good error correcting codes whose generator matrix has a suppo...
01/24/2018 ∙ by Hikmet Yildiz, et al. ∙ 0 ∙ share

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A Precise Analysis of PhaseMax in Phase Retrieval

Recovering an unknown complex signal from the magnitude of linear combin...
01/20/2018 ∙ by Fariborz Salehi, et al. ∙ 0 ∙ share

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Symbol Error Rate Performance of Box-relaxation Decoders in Massive MIMO

The maximum-likelihood (ML) decoder for symbol detection in large multip...
11/30/2017 ∙ by Christos Thrampoulidis, et al. ∙ 0 ∙ share

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Entropic Causality and Greedy Minimum Entropy Coupling

We study the problem of identifying the causal relationship between two ...
01/28/2017 ∙ by Murat Kocaoglu, et al. ∙ 0 ∙ share

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Entropic Causal Inference

We consider the problem of identifying the causal direction between two ...
11/12/2016 ∙ by Murat Kocaoglu, et al. ∙ 0 ∙ share

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Finding Dense Clusters via "Low Rank + Sparse" Decomposition

Finding "densely connected clusters" in a graph is in general an importa...
04/27/2011 ∙ by Samet Oymak, et al. ∙ 0 ∙ share

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New Null Space Results and Recovery Thresholds for Matrix Rank Minimization

Nuclear norm minimization (NNM) has recently gained significant attentio...
11/29/2010 ∙ by Samet Oymak, et al. ∙ 0 ∙ share

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Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization

Minimizing the rank of a matrix subject to constraints is a challenging ...
09/07/2008 ∙ by Benjamin Recht, et al. ∙ 0 ∙ share

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Babak Hassibi

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