Ali Ramezani-Kebrya

34 papers A* 6Journal 24Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection.
AAAI
Brage Eilertsen, Røskva Bjørgfinsdóttir, Francielle Vargas, Ali Ramezani-Kebrya
2026 J jnl
Decomposing Reasoning Efficiency in Large Language Models.
CoRR
Daniel Kaiser, Arnoldo Frigessi, Ali Ramezani-Kebrya, Benjamin Ricaud
2025 J jnl
Addressing Label Shift in Distributed Learning via Entropy Regularization.
CoRR
Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya
2025 A* conf
Addressing Label Shift in Distributed Learning via Entropy Regularization​.
ICLR
Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya
2025 J jnl
Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection.
CoRR
Brage Eilertsen, Røskva Bjørgfinsdóttir, Francielle Vargas, Ali Ramezani-Kebrya
2025 J jnl
CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density.
CoRR
Daniel Kaiser, Arnoldo Frigessi, Ali Ramezani-Kebrya, Benjamin Ricaud
2025 A* conf
Layer-wise Quantization for Quantized Optimistic Dual Averaging.
ICML
Anh Duc Nguyen, Ilia Markov, Frank Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher
2025 J jnl
Layer-wise Quantization for Quantized Optimistic Dual Averaging.
CoRR
Anh Duc Nguyen, Ilia Markov, Frank Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher
2025 — conf
Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration.
NAIS
Changkyu Choi, Arangan Subramaniam, Nils Olav Handegard, Ali Ramezani-Kebrya, Robert Jenssen
2025 J jnl
Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure.
CoRR
Vahidreza Jahanmard, Ali Ramezani-Kebrya, Robinson Hordoir
2024 J jnl
Mixed Nash for Robust Federated Learning.
Trans. Mach. Learn. Res.
Wanyun Xie, Thomas Pethick, Ali Ramezani-Kebrya, Volkan Cevher
2024 J jnl
On the Generalization of Stochastic Gradient Descent with Momentum.
J. Mach. Learn. Res.
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher, Ashish Khisti, Ben Liang
2023 A* conf
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees.
ICLR
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher
2023 J jnl
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees.
CoRR
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher
2023 J jnl
Federated Learning under Covariate Shifts with Generalization Guarantees.
CoRR
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
2023 J jnl
Federated Learning under Covariate Shifts with Generalization Guarantees.
Trans. Mach. Learn. Res.
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
2022 J jnl
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks.
CoRR
Ali Ramezani-Kebrya, Iman Tabrizian, Fartash Faghri, Petar Popovski
2022 J jnl
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks.
Trans. Mach. Learn. Res.
Ali Ramezani-Kebrya, Iman Tabrizian, Fartash Faghri, Petar Popovski
2022 J jnl
Robust Design of Multicell D2D Communication Under Partial CSI.
IEEE Internet Things J.
Ali Ramezani-Kebrya, Ben Liang, Min Dong, Gary Boudreau
2021 J jnl
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization.
J. Mach. Learn. Res.
Ali Ramezani-Kebrya, Fartash Faghri, Ilya Markov, Vitalii Aksenov, Dan Alistarh, Daniel M. Roy
2021 A* conf
Subquadratic Overparameterization for Shallow Neural Networks.
NeurIPS
Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher
2021 J jnl
Subquadratic Overparameterization for Shallow Neural Networks.
CoRR
Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher
2020 A* conf
Adaptive Gradient Quantization for Data-Parallel SGD.
NeurIPS
Fartash Faghri, Iman Tabrizian, Ilia Markov, Dan Alistarh, Daniel M. Roy, Ali Ramezani-Kebrya
2020 J jnl
Adaptive Gradient Quantization for Data-Parallel SGD.
CoRR
Fartash Faghri, Iman Tabrizian, Ilia Markov, Dan Alistarh, Daniel M. Roy, Ali Ramezani-Kebrya
2019 J jnl
NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization.
CoRR
Ali Ramezani-Kebrya, Fartash Faghri, Daniel M. Roy
2018 J jnl
On the Stability and Convergence of Stochastic Gradient Descent with Momentum.
CoRR
Ali Ramezani-Kebrya, Ashish Khisti, Ben Liang
2017 J jnl
Interference Minimization in Cooperative Relay Beamforming With Multiple Communicating Pairs.
IEEE Trans. Wirel. Commun.
Ali Ramezani-Kebrya, Ben Liang, Min Dong, Gary Boudreau, Ronald Casselman
2017 J jnl
Joint Power Optimization for Device-to-Device Communication in Cellular Networks With Interference Control.
IEEE Trans. Wirel. Commun.
Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, S. Hossein Seyedmehdi
2017 — conf
Robust power optimization for device-to-device communication in a multi-cell network under partial CSI.
ICC
Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, S. Hossein Seyedmehdi
2016 J jnl
Per-Relay Power Minimization for Multi-user Multi-channel Cooperative Relay Beamforming.
IEEE Trans. Wirel. Commun.
Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, Ronald Casselman
2015 — conf
Optimal cooperative relay beamforming for interference minimization.
ICC
Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, Ronald Casselman
2015 — conf
Optimal power allocation in device-to-device communication with SIMO uplink beamforming.
SPAWC
Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, S. Hossein Seyedmehdi
2013 J jnl
Detection for an AF Cooperative Diversity Network in the Presence of Interference.
IEEE Commun. Lett.
Ali Ramezani-Kebrya, Il-Min Kim, François Chan, Robert J. Inkol, Hyoung-Kyu Song
2013 J jnl
Likelihood-Based Modulation Classification for Multiple-Antenna Receiver.
IEEE Trans. Commun.
Ali Ramezani-Kebrya, Il-Min Kim, Dong In Kim, François Chan, Robert J. Inkol