Classifying Cells for Cancer Diagnosis Using Neural Networks. - Ciamac Cyrus Moallemi (IEEE Expert, 1991)

Distributed Optimization in Adaptive Networks. - Ciamac Cyrus Moallemi; Benjamin Van Roy (NIPS, 2003)

Protein family annotation in a multiple alignment viewer. - Jason M. Johnson; Keith Mason; Ciamac Cyrus Moallemi; Hualin Xi; Shyamal Somaroo; Enoch S. Huang (Bioinform., 2003)

Mapping protein pockets through their potential small-molecule binding volumes: QSCD applied to biological protein structures. - Keith Mason; Nehal M. Patel; Aric Ledel; Ciamac Cyrus Moallemi; Edward A. Wintner (J. Comput. Aided Mol. Des., 2004)

Load balancing with migration penalties. - Vivek F. Farias; Ciamac C. Moallemi; Balaji Prabhakar (ISIT, 2005)

A universal scheme for learning. - Vivek F. Farias; Ciamac C. Moallemi; Benjamin Van Roy; Tsachy Weissman (ISIT, 2005)

Convergence of the Min-Sum Message Passing Algorithm for Quadratic Optimization - Ciamac Cyrus Moallemi; Benjamin Van Roy (CoRR, 2006)

Consensus Propagation. - Ciamac Cyrus Moallemi; Benjamin Van Roy (IEEE Trans. Inf. Theory, 2006)

A Smoothed Approximate Linear Program. - Vijay V. Desai; Vivek F. Farias; Ciamac Cyrus Moallemi (NIPS, 2009)

Convergence of min-sum message passing for quadratic optimization. - Ciamac Cyrus Moallemi; Benjamin Van Roy (IEEE Trans. Inf. Theory, 2009)

Information aggregation in smooth markets. - Krishnamurthy Iyer; Ramesh Johari; Ciamac Cyrus Moallemi (EC, 2010)

On the flow-level dynamics of a packet-switched network. - Ciamac Cyrus Moallemi; Devavrat Shah (SIGMETRICS, 2010)

Universal reinforcement learning. - Vivek F. Farias; Ciamac Cyrus Moallemi; Benjamin Van Roy; Tsachy Weissman (IEEE Trans. Inf. Theory, 2010)

Convergence of min-sum message-passing for convex optimization. - Ciamac Cyrus Moallemi; Benjamin Van Roy (IEEE Trans. Inf. Theory, 2010)

Risk estimation via weighted regression. - Mark Broadie; Yiping Du; Ciamac Cyrus Moallemi (WSC, 2011)

Resource Allocation via Message Passing. - Ciamac Cyrus Moallemi; Benjamin Van Roy (INFORMS J. Comput., 2011)

Efficient Risk Estimation via Nested Sequential Simulation. - Mark Broadie; Yiping Du; Ciamac Cyrus Moallemi (Manag. Sci., 2011)

Non-parametric Approximate Dynamic Programming via the Kernel Method. - Nikhil Bhat; Ciamac C. Moallemi; Vivek F. Farias (NIPS, 2012)

Information and the value of execution guarantees. - Krishnamurthy Iyer; Ramesh Johari; Ciamac Cyrus Moallemi (EC, 2012)

Approximate Dynamic Programming via a Smoothed Linear Program. - Vijay V. Desai; Vivek F. Farias; Ciamac Cyrus Moallemi (Oper. Res., 2012)

Pathwise Optimization for Optimal Stopping Problems. - Vijay V. Desai; Vivek F. Farias; Ciamac Cyrus Moallemi (Manag. Sci., 2012)

OR Forum - The Cost of Latency in High-Frequency Trading. - Ciamac C. Moallemi; Mehmet Saglam (Oper. Res., 2013)

An Axiomatic Approach to Systemic Risk. - Chen Chen 026; Garud Iyengar; Ciamac C. Moallemi (Manag. Sci., 2013)

Information Aggregation and Allocative Efficiency in Smooth Markets. - Krishnamurthy Iyer; Ramesh Johari; Ciamac C. Moallemi (Manag. Sci., 2014)

Risk Estimation via Regression. - Mark Broadie; Yiping Du; Ciamac C. Moallemi (Oper. Res., 2015)

Hidden Illiquidity with Multiple Central Counterparties. - Paul Glasserman; Ciamac C. Moallemi; Kai Yuan (Oper. Res., 2016)

Policy Gradient Optimization of Thompson Sampling Policies. - Seungki Min; Ciamac C. Moallemi; Daniel J. Russo (CoRR, 2020)

Near-Optimal A-B Testing. - Nikhil Bhat; Vivek F. Farias; Ciamac C. Moallemi; Deeksha Sinha (Manag. Sci., 2020)

Queueing Dynamics and State Space Collapse in Fragmented Limit Order Book Markets. - Costis Maglaras; Ciamac C. Moallemi; Hua Zheng (Oper. Res., 2021)

Quantifying Loss in Automated Market Makers. - Jason Milionis; Ciamac C. Moallemi; Tim Roughgarden; Anthony Lee Zhang (DeFi@CCS, 2022)

Cross-Sectional Variation of Intraday Liquidity, Cross-Impact, and Their Effect on Portfolio Execution. - Seungki Min; Costis Maglaras; Ciamac C. Moallemi (Oper. Res., 2022)

Complexity-Approximation Trade-Offs in Exchange Mechanisms: AMMs vs. LOBs. - Jason Milionis; Ciamac C. Moallemi; Tim Roughgarden (FC (1), 2023)

Extended Abstract: The Effect of Trading Fees on Arbitrage Profits in Automated Market Makers. - Jason Milionis; Ciamac C. Moallemi; Tim Roughgarden (FC Workshops, 2023)

Loss-Versus-Fair: Efficiency of Dutch Auctions on Blockchains. - Ciamac C. Moallemi; Dan Robinson (AFT, 2024)

Optimal Dynamic Fees for Blockchain Resources. - Davide Crapis; Ciamac C. Moallemi; Shouqiao Wang (FC (1), 2024)

Automated Market Making and Arbitrage Profits in the Presence of Fees. - Jason Milionis; Ciamac C. Moallemi; Tim Roughgarden (FC (1), 2024)

A Myersonian Framework for Optimal Liquidity Provision in Automated Market Makers. - Jason Milionis; Ciamac C. Moallemi; Tim Roughgarden (ITCS, 2024)

Quantifying the Value of Revert Protection. - Brian Z. Zhu; Xin Wan; Ciamac C. Moallemi; Dan Robinson; Brad Bachu (CoRR, 2024)

Hybrid Scheduling with Mixed-Integer Programming at Columbia Business School. - Ciamac C. Moallemi; Utkarsh Patange (INFORMS J. Appl. Anal., 2024)

Thompson Sampling with Information Relaxation Penalties. - Seungki Min; Costis Maglaras; Ciamac C. Moallemi (Manag. Sci., 2025)

A Framework for Combined Transaction Posting and Pricing for Layer 2 Blockchains. - Shouqiao Wang; Davide Crapis; Ciamac C. Moallemi (CoRR, 2025)