Hamid Dadkhahi

26 papers A* 5Misc 2Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Distribution-Calibrated Inference time compute for Thinking LLM-as-a-Judge.
CoRR
Hamid Dadkhahi, Firas Trabelsi, Parker Riley, Juraj Juraska, Mehdi Mirzazadeh
2025 A* conf
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations.
ICML
Lily H. Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag
2024 J jnl
Don't Throw Away Data: Better Sequence Knowledge Distillation.
CoRR
Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn
2024 J jnl
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations.
CoRR
Lily H. Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag
2023 A* conf
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning.
NeurIPS
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
2023 J jnl
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning.
CoRR
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
2022 A* conf
Fourier Representations for Black-Box Optimization over Categorical Variables.
AAAI
Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das
2022 J jnl
Fourier Representations for Black-Box Optimization over Categorical Variables.
CoRR
Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das
2020 A* conf
Combinatorial Black-Box Optimization with Expert Advice.
KDD
Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan
2020 J jnl
Combinatorial Black-Box Optimization with Expert Advice.
CoRR
Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan
2018 J jnl
Alternating Linear Bandits for Online Matrix-Factorization Recommendation.
CoRR
Hamid Dadkhahi, Sahand Negahban
2017 A* conf
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices.
KDD
Hamid Dadkhahi, Benjamin M. Marlin
2017 J jnl
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.
IEEE Trans. Image Process.
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
2016 J jnl
Learning Shallow Detection Cascades for Wearable Sensor-Based Mobile Health Applications.
CoRR
Hamid Dadkhahi, Nazir Saleheen, Santosh Kumar, Benjamin M. Marlin
2016 J jnl
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices.
CoRR
Hamid Dadkhahi, Benjamin M. Marlin
2016 J jnl
Masking Strategies for Image Manifolds.
CoRR
Hamid Dadkhahi, Marco F. Duarte
2016 J jnl
Masking Strategies for Image Manifolds.
IEEE Trans. Image Process.
Hamid Dadkhahi, Marco F. Duarte
2016 J jnl
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.
CoRR
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
2015 Misc conf
Image masking schemes for local manifold learning methods.
ICASSP
Hamid Dadkhahi, Marco F. Duarte
2015 — conf
Isomap out-of-sample extension for noisy time series data.
MLSP
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
2014 — conf
Masking schemes for image manifolds.
SSP
Hamid Dadkhahi, Marco F. Duarte
2013 J jnl
Spectral Compressive Sensing with Polar Interpolation
CoRR
Karsten Fyhn, Hamid Dadkhahi, Marco F. Duarte
2013 Misc conf
Spectral compressive sensing with polar interpolation.
ICASSP
Karsten Fyhn, Hamid Dadkhahi, Marco F. Duarte
2012 — conf
Coding for multiple packets in erasure networks.
AusCTW
Hamid Dadkhahi, Terence Chan, Ingmar Land
2012 J jnl
Inverse polynomial reconstruction method in DCT domain.
EURASIP J. Adv. Signal Process.
Hamid Dadkhahi, Atanas P. Gotchev, Karen O. Egiazarian
2012 — conf
Multiple-packet coding in block fading channels.
ISCIT
Hamid Dadkhahi, Terence Chan, Ingmar Land