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06/23/2023
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
We study the asymptotic generalization of an overparameterized linear mo...
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06/03/2022
Generalization for multiclass classification with overparameterized linear models
Via an overparameterized linear model with Gaussian features, we provide...
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09/27/2021
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective
State-of-the-art deep learning classifiers are heavily overparameterized...
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12/03/2020
On the Impossibility of Convergence of Mixed Strategies with No Regret Learning
We study convergence properties of the mixed strategies that result from...
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05/16/2020
Classification vs regression in overparameterized regimes: Does the loss function matter?
We compare classification and regression tasks in the overparameterized ...
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10/21/2019
Learning to Communicate in a Noisy Environment
In this work we examine the problem of learning to cooperate in the cont...
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05/28/2019
Robust Commitments and Partial Reputation
Agents rarely act in isolation -- their behavioral history, in particula...
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03/21/2019
Harmless interpolation of noisy data in regression
A continuing mystery in understanding the empirical success of deep neur...
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06/22/2018
Wireless Channel Dynamics and Robustness for Ultra-Reliable Low-Latency Communications
Interactive, immersive and critical applications demand ultra-reliable l...
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05/22/2018
Best of many worlds: Robust model selection for online supervised learning
We introduce algorithms for online, full-information prediction that are...
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03/14/2018
Network Coding for Real-time Wireless Communication for Automation
Real-time applications require latencies on the order of a millisecond w...
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01/14/2018
Cooperative Multi-Agent Reinforcement Learning for Low-Level Wireless Communication
Traditional radio systems are strictly co-designed on the lower levels o...
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12/18/2007