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ORCIDAhmad Beirami
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2020 – today
- 2024
[j17]R. Chulaka Gunasekara
, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4066-4076 (2024)- [j16]Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel:
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. Trans. Mach. Learn. Res. 2024 (2024) - [c66]Bhagyashree Puranik, Ahmad Beirami, Yao Qin, Upamanyu Madhow:
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective. AISTATS 2024: 4510-4518 - [c65]Nevan Wichers, Carson Denison, Ahmad Beirami:
Gradient-Based Language Model Red Teaming. EACL (1) 2024: 2862-2881 - [c64]Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami:
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. EMNLP 2024: 1332-1353 - [c63]Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. ICLR 2024 - [c62]Sidharth Mudgal, Jong Lee, Harish Ganapathy, YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami:
Controlled Decoding from Language Models. ICML 2024 - [c61]Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost:
FRAPPÉ: A Group Fairness Framework for Post-Processing Everything. ICML 2024 - [c60]Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami:
Asymptotics of Language Model Alignment. ISIT 2024: 2027-2032 - [i75]Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh:
Theoretical guarantees on the best-of-n alignment policy. CoRR abs/2401.01879 (2024) - [i74]Nevan Wichers, Carson Denison, Ahmad Beirami:
Gradient-Based Language Model Red Teaming. CoRR abs/2401.16656 (2024) - [i73]Ziteng Sun, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh:
Optimal Block-Level Draft Verification for Accelerating Speculative Decoding. CoRR abs/2403.10444 (2024) - [i72]Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami:
Asymptotics of Language Model Alignment. CoRR abs/2404.01730 (2024) - [i71]Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami:
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. CoRR abs/2404.12318 (2024) - [i70]Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister:
Mitigating Object Hallucination via Data Augmented Contrastive Tuning. CoRR abs/2405.18654 (2024) - [i69]Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant:
Robust Preference Optimization through Reward Model Distillation. CoRR abs/2405.19316 (2024) - [i68]Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson:
Safety Alignment Should Be Made More Than Just a Few Tokens Deep. CoRR abs/2406.05946 (2024) - [i67]James Atwood, Preethi Lahoti, Ananth Balashankar, Flavien Prost, Ahmad Beirami:
Inducing Group Fairness in LLM-Based Decisions. CoRR abs/2406.16738 (2024) - [i66]Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen:
Generalization Error of the Tilted Empirical Risk. CoRR abs/2409.19431 (2024) - 2023
- [j15]Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith:
On Tilted Losses in Machine Learning: Theory and Applications. J. Mach. Learn. Res. 24: 142:1-142:79 (2023) - [j14]Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami:
Robustness through Data Augmentation Loss Consistency. Trans. Mach. Learn. Res. 2023 (2023) - [c59]Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen:
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. EMNLP 2023: 10383-10405 - [c58]Pritam Sarkar, Ahmad Beirami, Ali Etemad:
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. NeurIPS 2023 - [c57]Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu:
SpecTr: Fast Speculative Decoding via Optimal Transport. NeurIPS 2023 - [i65]Jindong Gu, Ahmad Beirami, Xuezhi Wang, Alex Beutel, Philip H. S. Torr, Yao Qin:
Towards Robust Prompts on Vision-Language Models. CoRR abs/2304.08479 (2023) - [i64]Pritam Sarkar, Ahmad Beirami, Ali Etemad:
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. CoRR abs/2306.02014 (2023) - [i63]Xiao Ma, Swaroop Mishra, Ahmad Beirami, Alex Beutel, Jilin Chen:
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning. CoRR abs/2306.14308 (2023) - [i62]James Atwood, Tina Tian, Ben Packer, Meghana Deodhar, Jilin Chen, Alex Beutel, Flavien Prost, Ahmad Beirami:
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification. CoRR abs/2307.05728 (2023) - [i61]Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr:
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. CoRR abs/2307.12980 (2023) - [i60]Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. CoRR abs/2310.11401 (2023) - [i59]Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu:
SpecTr: Fast Speculative Decoding via Optimal Transport. CoRR abs/2310.15141 (2023) - [i58]Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen:
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. CoRR abs/2310.16523 (2023) - [i57]Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel:
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. CoRR abs/2310.16955 (2023) - [i56]Ananth Balashankar, Xiao Ma, Aradhana Sinha, Ahmad Beirami, Yao Qin, Jilin Chen, Alex Beutel:
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. CoRR abs/2310.16959 (2023) - [i55]Sidharth Mudgal, Jong Lee, Harish Ganapathy, YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami:
Controlled Decoding from Language Models. CoRR abs/2310.17022 (2023) - [i54]Bhagyashree Puranik, Ahmad Beirami, Yao Qin, Upamanyu Madhow:
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective. CoRR abs/2311.01047 (2023) - [i53]Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost:
FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. CoRR abs/2312.02592 (2023) - [i52]Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami:
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. CoRR abs/2312.03867 (2023) - [i51]Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant:
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR abs/2312.09244 (2023) - 2022
- [j13]Rita H. Wouhaybi, Ravikumar Balakrishnan, Navid Naderializadeh, Ahmad Beirami, Marco Di Felice, Shadi A. Noghabi, Anirudh Badam, Shugong Xu:
Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT. IEEE Internet Things Mag. 5(1): 22-23 (2022) - [j12]Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami:
A Stochastic Optimization Framework for Fair Risk Minimization. Trans. Mach. Learn. Res. 2022 (2022) - [c56]Hyundong Cho, Chinnadhurai Sankar, Christopher Lin, Kaushik Ram Sadagopan, Shahin Shayandeh, Asli Celikyilmaz, Jonathan May, Ahmad Beirami:
Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics. EMNLP (Findings) 2022: 5345-5359 - [c55]Kun Qian, Satwik Kottur, Ahmad Beirami, Shahin Shayandeh, Paul A. Crook, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar:
Database Search Results Disambiguation for Task-Oriented Dialog Systems. NAACL-HLT 2022: 1158-1173 - [c54]Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan:
Robust Conversational Agents against Imperceptible Toxicity Triggers. NAACL-HLT 2022: 2831-2847 - [i50]Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan:
Robust Conversational Agents against Imperceptible Toxicity Triggers. CoRR abs/2205.02392 (2022) - 2021
- [j11]Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami:
Coded Machine Unlearning. IEEE Access 9: 88137-88150 (2021) - [c53]Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur:
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. ACL/IJCNLP (1) 2021: 5651-5665 - [c52]Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith:
Tilted Empirical Risk Minimization. ICLR 2021 - [c51]Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith:
Ditto: Fair and Robust Federated Learning Through Personalization. ICML 2021: 6357-6368 - [c50]Satwik Kottur, Paul A. Crook, Seungwhan Moon, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard:
An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC). SIGDIAL 2021: 144-153 - [c49]Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar:
Annotation Inconsistency and Entity Bias in MultiWOZ. SIGDIAL 2021: 326-337 - [i49]Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur:
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. CoRR abs/2101.00151 (2021) - [i48]Andrew Lowy, Rakesh Pavan, Sina Baharlouei, Meisam Razaviyayn, Ahmad Beirami:
FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information. CoRR abs/2102.12586 (2021) - [i47]Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar:
Annotation Inconsistency and Entity Bias in MultiWOZ. CoRR abs/2105.14150 (2021) - [i46]Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith:
On Tilted Losses in Machine Learning: Theory and Applications. CoRR abs/2109.06141 (2021) - [i45]Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami:
DAIR: Data Augmented Invariant Regularization. CoRR abs/2110.11205 (2021) - [i44]Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami:
FeO2: Federated Learning with Opt-Out Differential Privacy. CoRR abs/2110.15252 (2021) - [i43]Matthew S. Nokleby, Ahmad Beirami:
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models. CoRR abs/2111.04579 (2021) - [i42]Hyundong Cho, Chinnadhurai Sankar, Christopher Lin, Kaushik Ram Sadagopan, Shahin Shayandeh, Asli Celikyilmaz, Jonathan May, Ahmad Beirami:
CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance. CoRR abs/2112.08321 (2021) - [i41]Kun Qian, Ahmad Beirami, Satwik Kottur, Shahin Shayandeh, Paul A. Crook, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar:
Database Search Results Disambiguation for Task-Oriented Dialog Systems. CoRR abs/2112.08351 (2021) - 2020
- [j10]Ahmad Beirami, Faramarz Fekri:
Network Traffic Compression With Side Information. IEEE Access 8: 90023-90034 (2020) - [j9]Yunqi Zhao, Igor Borovikov, Fernando de Mesentier Silva, Ahmad Beirami, Jason Rupert, Caedmon Somers, Jesse Harder, John Kolen, Jervis Pinto, Reza Pourabolghasem, James Pestrak, Harold Chaput, Mohsen Sardari, Long Lin, Sundeep Narravula, Navid Aghdaie, Kazi A. Zaman:
Winning Is Not Everything: Enhancing Game Development With Intelligent Agents. IEEE Trans. Games 12(2): 199-212 (2020) - [j8]Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard:
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing With Side-Information. IEEE Trans. Inf. Forensics Secur. 15: 3749-3759 (2020) - [c48]Sofia Maria Nikolakaki, Ogheneovo Dibie, Ahmad Beirami, Nicholas Peterson, Navid Aghdaie, Kazi A. Zaman:
Competitive Balance in Team Sports Games. CoG 2020: 526-533 - [c47]Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard:
Situated and Interactive Multimodal Conversations. COLING 2020: 1103-1121 - [c46]Zhenpeng Zhou, Ahmad Beirami, Paul A. Crook, Pararth Shah, Rajen Subba, Alborz Geramifard:
Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming. COLING 2020: 6775-6787 - [c45]Sina Baharlouei, Maher Nouiehed, Ahmad Beirami, Meisam Razaviyayn:
Rényi Fair Inference. ICLR 2020 - [c44]Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith:
Fair Resource Allocation in Federated Learning. ICLR 2020 - [i40]Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard:
Situated and Interactive Multimodal Conversations. CoRR abs/2006.01460 (2020) - [i39]Sofia Maria Nikolakaki, Ogheneovo Dibie, Ahmad Beirami, Nicholas Peterson, Navid Aghdaie, Kazi A. Zaman:
Competitive Balance in Team Sports Games. CoRR abs/2006.13763 (2020) - [i38]Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith:
Tilted Empirical Risk Minimization. CoRR abs/2007.01162 (2020) - [i37]Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard:
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing with Side-Information. CoRR abs/2008.12823 (2020) - [i36]Zhenpeng Zhou, Ahmad Beirami, Paul A. Crook, Pararth Shah, Rajen Subba, Alborz Geramifard:
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming. CoRR abs/2011.05457 (2020) - [i35]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. CoRR abs/2011.06486 (2020) - [i34]Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith:
Federated Multi-Task Learning for Competing Constraints. CoRR abs/2012.04221 (2020) - [i33]Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami:
Coded Machine Unlearning. CoRR abs/2012.15721 (2020)
2010 – 2019
- 2019
- [j7]Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard:
Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization. IEEE Trans. Inf. Forensics Secur. 14(9): 2288-2299 (2019) - [j6]Ahmad Beirami, A. Robert Calderbank, Mark M. Christiansen, Ken R. Duffy, Muriel Médard:
A Characterization of Guesswork on Swiftly Tilting Curves. IEEE Trans. Inf. Theory 65(5): 2850-2871 (2019) - [j5]Yiwei Zhao, Han Liu, Igor Borovikov, Ahmad Beirami, Maziar Sanjabi, Kazi A. Zaman:
Multi-theme generative adversarial terrain amplification. ACM Trans. Graph. 38(6): 200:1-200:14 (2019) - [c43]Igor Borovikov, Ahmad Beirami:
From Demonstrations and Knowledge Engineering to a DNN Agent in a Modern Open-World Video Game. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c42]Hangjin Liu, You Joe Zhou, Ahmad Beirami, Dror Baron:
Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing. Allerton 2019: 757-764 - [c41]Salman Salamatian, Litian Liu, Ahmad Beirami, Muriel Médard:
Mismatched Guesswork and One-to-One Codes. ITW 2019: 1-5 - [i32]Ahmad Beirami, Faramarz Fekri:
Universal Compression with Side Information from a Correlated Source. CoRR abs/1901.03625 (2019) - [i31]Yunqi Zhao, Igor Borovikov, Ahmad Beirami, Jason Rupert, Caedmon Somers, Jesse Harder, Fernando de Mesentier Silva, John Kolen, Jervis Pinto, Reza Pourabolghasem, Harold Chaput, James Pestrak, Mohsen Sardari, Long Lin, Navid Aghdaie, Kazi A. Zaman:
Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI. CoRR abs/1903.10545 (2019) - [i30]Igor Borovikov, Jesse Harder, Michael G. Sadovsky, Ahmad Beirami:
Towards Interactive Training of Non-Player Characters in Video Games. CoRR abs/1906.00535 (2019) - [i29]Yunqi Zhao, Igor Borovikov, Jason Rupert, Caedmon Somers, Ahmad Beirami:
On Multi-Agent Learning in Team Sports Games. CoRR abs/1906.10124 (2019) - [i28]Salman Salamatian, Litian Liu, Ahmad Beirami, Muriel Médard:
Mismatched Guesswork. CoRR abs/1907.00531 (2019) - [i27]Hangjin Liu, You Joe Zhou, Ahmad Beirami, Dror Baron:
Bayesian Nonlinear Function Estimation with Approximate Message Passing. CoRR abs/1907.02482 (2019) - 2018
- [j4]Hessam Mahdavifar, Ahmad Beirami, Behrouz Touri, Jeff S. Shamma:
Global Games With Noisy Information Sharing. IEEE Trans. Signal Inf. Process. over Networks 4(3): 497-509 (2018) - [c40]Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh:
On Data-Dependent Random Features for Improved Generalization in Supervised Learning. AAAI 2018: 4026-4033 - [c39]Parinaz Farajiparvar, Ahmad Beirami, Matthew S. Nokleby:
Information Bottleneck Methods for Distributed Learning. Allerton 2018: 24-31 - [c38]Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh:
Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection. CDC 2018: 1168-1173 - [i26]Ahmad Beirami, A. Robert Calderbank, Mark M. Christiansen, Ken Duffy, Muriel Médard:
A Characterization of Guesswork on Swiftly Tilting Curves. CoRR abs/1801.09021 (2018) - [i25]Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard:
Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization. CoRR abs/1805.11666 (2018) - [i24]Parinaz Farajiparvar, Ahmad Beirami, Matthew S. Nokleby:
Information Bottleneck Methods for Distributed Learning. CoRR abs/1810.11499 (2018) - 2017
- [c37]Arman Rezaee, Ahmad Beirami, Ali Makhdoumi, Muriel Médard, Ken Duffy:
Guesswork subject to a total entropy budget. Allerton 2017: 1008-1015 - [c36]Salman Salamatian, Ahmad Beirami, Asaf Cohen, Muriel Médard:
Centralized vs decentralized multi-agent guesswork. ISIT 2017: 2258-2262 - [c35]Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh:
On Optimal Generalizability in Parametric Learning. NIPS 2017: 3455-3465 - [i23]Salman Salamatian, Ahmad Beirami, Asaf Cohen, Muriel Médard:
Centralized vs Decentralized Multi-Agent Guesswork. CoRR abs/1705.09372 (2017) - [i22]Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh:
On Optimal Generalizability in Parametric Learning. CoRR abs/1711.05323 (2017) - [i21]Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh:
On Data-Dependent Random Features for Improved Generalization in Supervised Learning. CoRR abs/1712.07102 (2017) - [i20]Arman Rezaee, Ahmad Beirami, Ali Makhdoumi, Muriel Médard, Ken Duffy:
Guesswork Subject to a Total Entropy Budget. CoRR abs/1712.09082 (2017) - 2016
- [j3]Ahmad Beirami, Mohsen Sardari, Faramarz Fekri:
Packet-Level Network Compression: Realization and Scaling of the Network-Wide Benefits. IEEE/ACM Trans. Netw. 24(3): 1588-1604 (2016) - [j2]Ahmad Beirami, Mohsen Sardari, Faramarz Fekri:
Wireless Network Compression Via Memory-Enabled Overhearing Helpers. IEEE Trans. Wirel. Commun. 15(1): 176-190 (2016) - [c34]Junan Zhu, Ahmad Beirami, Dror Baron:
Performance trade-offs in multi-processor approximate message passing. ISIT 2016: 680-684 - [c33]Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank:
Rate-distortion bounds on Bayes risk in supervised learning. ISIT 2016: 2099-2103 - [i19]Junan Zhu, Ahmad Beirami, Dror Baron:
Performance Trade-Offs in Multi-Processor Approximate Message Passing. CoRR abs/1604.02752 (2016) - [i18]Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank:
Rate-Distortion Bounds on Bayes Risk in Supervised Learning. CoRR abs/1605.02268 (2016) - 2015
- [b1]Ahmad Beirami:
Network compression via network memory: fundamental performance limits. Georgia Institute of Technology, Atlanta, GA, USA, 2015 - [c32]Ahmad Beirami, A. Robert Calderbank, Mark M. Christiansen, Ken R. Duffy, Ali Makhdoumi, Muriel Médard:
A geometric perspective on guesswork. Allerton 2015: 941-948 - [c31]Hessam Mahdavifar, Ahmad Beirami, Behrouz Touri, Jeff S. Shamma:
Threshold policy for global games with noisy information sharing. CDC 2015: 5865-5870 - [c30]Yanting Ma, Dror Baron, Ahmad Beirami:
Mismatched estimation in large linear systems. ISIT 2015: 760-764 - [c29]Hessam Mahdavifar, Ahmad Beirami:
Diffusion channel with Poisson reception process: capacity results and applications. ISIT 2015: 1956-1960 - [c28]Ahmad Beirami, A. Robert Calderbank, Ken R. Duffy, Muriel Médard:
Quantifying computational security subject to source constraints, guesswork and inscrutability. ISIT 2015: 2757-2761 - [c27]