Ahmad Beirami

Orcid: 0000-0002-1998-5271

According to our database1, Ahmad Beirami authored at least 105 papers between 2010 and 2024.

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Bibliography

2024
Optimal Block-Level Draft Verification for Accelerating Speculative Decoding.
CoRR, 2024

Theoretical guarantees on the best-of-n alignment policy.
CoRR, 2024

Gradient-Based Language Model Red Teaming.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Robustness through Data Augmentation Loss Consistency.
Trans. Mach. Learn. Res., 2023

On Tilted Losses in Machine Learning: Theory and Applications.
J. Mach. Learn. Res., 2023

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.
CoRR, 2023

Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing.
CoRR, 2023

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization.
CoRR, 2023

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective.
CoRR, 2023

Controlled Decoding from Language Models.
CoRR, 2023

Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning.
CoRR, 2023

Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks.
CoRR, 2023

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests.
CoRR, 2023

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.
CoRR, 2023

Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification.
CoRR, 2023

Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning.
CoRR, 2023

Towards Robust Prompts on Vision-Language Models.
CoRR, 2023

SpecTr: Fast Speculative Decoding via Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
A Stochastic Optimization Framework for Fair Risk Minimization.
Trans. Mach. Learn. Res., 2022

Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT.
IEEE Internet Things Mag., 2022

Database Search Results Disambiguation for Task-Oriented Dialog Systems.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Robust Conversational Agents against Imperceptible Toxicity Triggers.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance.
CoRR, 2021

Information-Theoretic Bayes Risk Lower Bounds for Realizable Models.
CoRR, 2021

FeO2: Federated Learning with Opt-Out Differential Privacy.
CoRR, 2021

DAIR: Data Augmented Invariant Regularization.
CoRR, 2021

FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information.
CoRR, 2021

Coded Machine Unlearning.
IEEE Access, 2021

Annotation Inconsistency and Entity Bias in MultiWOZ.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC).
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Ditto: Fair and Robust Federated Learning Through Personalization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Tilted Empirical Risk Minimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing With Side-Information.
IEEE Trans. Inf. Forensics Secur., 2020

Winning Is Not Everything: Enhancing Game Development With Intelligent Agents.
IEEE Trans. Games, 2020

Federated Multi-Task Learning for Competing Constraints.
CoRR, 2020

Overview of the Ninth Dialog System Technology Challenge: DSTC9.
CoRR, 2020

Network Traffic Compression With Side Information.
IEEE Access, 2020

Fair Resource Allocation in Federated Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Rényi Fair Inference.
Proceedings of the 8th International Conference on Learning Representations, 2020

Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Situated and Interactive Multimodal Conversations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Competitive Balance in Team Sports Games.
Proceedings of the IEEE Conference on Games, 2020

2019
Multi-theme generative adversarial terrain amplification.
ACM Trans. Graph., 2019

A Characterization of Guesswork on Swiftly Tilting Curves.
IEEE Trans. Inf. Theory, 2019

Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization.
IEEE Trans. Inf. Forensics Secur., 2019

Bayesian Nonlinear Function Estimation with Approximate Message Passing.
CoRR, 2019

Mismatched Guesswork.
CoRR, 2019

On Multi-Agent Learning in Team Sports Games.
CoRR, 2019

Towards Interactive Training of Non-Player Characters in Video Games.
CoRR, 2019

Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI.
CoRR, 2019

Universal Compression with Side Information from a Correlated Source.
CoRR, 2019

Mismatched Guesswork and One-to-One Codes.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

From Demonstrations and Knowledge Engineering to a DNN Agent in a Modern Open-World Video Game.
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2018
Global Games With Noisy Information Sharing.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Information Bottleneck Methods for Distributed Learning.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

On Data-Dependent Random Features for Improved Generalization in Supervised Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
On Optimal Generalizability in Parametric Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Centralized vs decentralized multi-agent guesswork.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Guesswork subject to a total entropy budget.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Wireless Network Compression Via Memory-Enabled Overhearing Helpers.
IEEE Trans. Wirel. Commun., 2016

Packet-Level Network Compression: Realization and Scaling of the Network-Wide Benefits.
IEEE/ACM Trans. Netw., 2016

Performance trade-offs in multi-processor approximate message passing.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Rate-distortion bounds on Bayes risk in supervised learning.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
A rate-distortion framework for supervised learning.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Diffusion channel with Poisson reception process: capacity results and applications.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Mismatched estimation in large linear systems.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Quantifying computational security subject to source constraints, guesswork and inscrutability.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Threshold policy for global games with noisy information sharing.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A geometric perspective on guesswork.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Universal Compression of a Mixture of Parametric Sources with Side Information.
CoRR, 2014

Packet-level clustering for memory-assisted compression of network packets.
Proceedings of the Sixth International Conference on Wireless Communications and Signal Processing, 2014

On optimality of data clustering for packet-level memory-assisted compression of network traffic.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

Fundamental limits of universal lossless one-to-one compression of parametric sources.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Mismatched side information in wireless network compression via overhearing helpers.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

A memory-assisted lossless compression algorithm for medical images.
Proceedings of the IEEE International Conference on Acoustics, 2014

Fundamental performance limits of chaotic-map random number generators.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

A novel correlation model for universal compression of parametric sources.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
A Framework for Investigating the Performance of Chaotic-Map Truly Random Number Generators.
IEEE Trans. Circuits Syst. II Express Briefs, 2013

Variability analysis of tent map-based chaotic-map truly random number generators.
Proceedings of the IEEE 56th International Midwest Symposium on Circuits and Systems, 2013

A continuous-time sigma-delta ADC with tunable pass-band for multi-standard applications.
Proceedings of the IEEE 56th International Midwest Symposium on Circuits and Systems, 2013

Wireless network compression: Code design and trade offs.
Proceedings of the 2013 Information Theory and Applications Workshop, 2013

Content-aware network data compression using joint memorization and clustering.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Results on the optimal memory-assisted universal compression performance for mixture sources.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Chaotic-Map Truly Random Number Generators: Evaluation of Bit-Generation and Post-Processing
CoRR, 2012

A Performance Metric for Discrete-Time Chaos-Based Truly Random Number Generators
CoRR, 2012

Memory placement in network compression: Line and grid topologies.
Proceedings of the International Symposium on Information Theory and its Applications, 2012

Results on the fundamental gain of memory-assisted universal source coding.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

On lossless universal compression of distributed identical sources.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Memory-assisted universal compression of network flows.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Data gathering in networks of bacteria colonies: Collective sensing and relaying using molecular communication.
Proceedings of the 2012 Proceedings IEEE INFOCOM Workshops, 2012

Memory-Assisted Universal Source Coding.
Proceedings of the 2012 Data Compression Conference, Snowbird, UT, USA, April 10-12, 2012, 2012

Network Compression: Memory-assisted universal coding of sources with correlated parameters.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Exact modeling of the performance of random linear network coding in finite-buffer networks.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

On the network-wide gain of memory-assisted source coding.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Capacity of discrete molecular diffusion channels.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Results on the redundancy of universal compression for finite-length sequences.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

The Redundancy of Two-Part Codes for Finite-Length Parametric Sources.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

Consensus problem under diffusion-based molecular communication.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2010
On the finite-length performance of universal coding for k-ary memoryless sources.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010


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