31 citations · 41 across the 6 of their papers we have counts for
6 papers
First Order Stochastic Optimization with Oblivious Noise
Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park +1
We initiate the study of stochastic optimization with oblivious noise, broadly generalizing the standard heavy-tailed noise setup. In our setting, in addition to random observation…
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions
Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park +1
We demonstrate the first algorithms for the problem of regression for generalized linear models (GLMs) in the presence of additive oblivious noise. We assume we have sample access…
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Gibbeum Lee, Volker Hartmann, Jongho Park +2
In this paper, we propose MPC (Modular Prompted Chatbot), a new approach for creating high-quality conversational agents without the need for fine-tuning. Our method utilizes pre-t…
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators
Minwoo Lee, Kyu Tae Kim, Jongho Park
Self-sustained oscillations are ubiquitous in nature and engineering. In this paper, we propose a novel output-only system-identification framework for identifying the system param…
ReLU Regression with Massart Noise
Ilias Diakonikolas, Jongho Park, Christos Tzamos
We study the fundamental problem of ReLU regression, where the goal is to fit Rectified Linear Units (ReLUs) to data. This supervised learning task is efficiently solvable in the r…
On Robust Mean Estimation under Coordinate-level Corruption
Zifan Liu, Jongho Park, Theodoros Rekatsinas +1
We study the problem of robust mean estimation and introduce a novel Hamming distance-based measure of distribution shift for coordinate-level corruptions. We show that this measur…