Faster Algorithms for Incremental Topological Ordering. - Bernhard Haeupler; Telikepalli Kavitha; Rogers Mathew; Siddhartha Sen 001; Robert Endre Tarjan (ICALP (1), 2008)

Incremental Topological Ordering and Strong Component Maintenance - Bernhard Haeupler; Siddhartha Sen 001; Robert Endre Tarjan (CoRR, 2008)

Virtual Ring Routing Trends. - Dahlia Malkhi; Siddhartha Sen 001; Kunal Talwar; Renato Fonseca F. Werneck; Udi Wieder (DISC, 2009)

Heaps Simplified - Bernhard Haeupler; Siddhartha Sen 001; Robert Endre Tarjan (CoRR, 2009)

Prophecy: Using History for High-Throughput Fault Tolerance. - Siddhartha Sen 001; Wyatt Lloyd; Michael J. Freedman (NSDI, 2010)

Deletion Without Rebalancing in Balanced Binary Trees. - Siddhartha Sen 001; Robert Endre Tarjan (SODA, 2010)

Brief Announcement: Bridging the Theory-Practice Gap in Multi-commodity Flow Routing. - Siddhartha Sen 001; Sunghwan Ihm; Kay Ousterhout; Michael J. Freedman (DISC, 2011)

Rank-Pairing Heaps. - Bernhard Haeupler; Siddhartha Sen 001; Robert Endre Tarjan (SIAM J. Comput., 2011)

Don't Lose Sleep Over Availability: The GreenUp Decentralized Wakeup Service. - Siddhartha Sen 001; Jacob R. Lorch; Richard Hughes; Carlos Garcia Jurado Suarez; Brian Zill; Weverton Cordeiro; Jitendra Padhye (NSDI, 2012)

On the price of equivocation in byzantine agreement. - Alexander Jaffe; Thomas Moscibroda; Siddhartha Sen 001 (PODC, 2012)

Review of PODC 2012. - Siddhartha Sen 001 (SIGACT News, 2012)

Commensal cuckoo: secure group partitioning for large-scale services. - Siddhartha Sen 001; Michael J. Freedman (ACM SIGOPS Oper. Syst. Rev., 2012)

Incremental Cycle Detection, Topological Ordering, and Strong Component Maintenance. - Bernhard Haeupler; Telikepalli Kavitha; Rogers Mathew; Siddhartha Sen 001; Robert Endre Tarjan (ACM Trans. Algorithms, 2012)

Scalable, optimal flow routing in datacenters via local link balancing. - Siddhartha Sen 001; David Shue; Sunghwan Ihm; Michael J. Freedman (CoNEXT, 2013)

Making Every Bit Count in Wide-Area Analytics. - Ariel Rabkin; Matvey Arye; Siddhartha Sen 001; Vivek S. Pai; Michael J. Freedman (HotOS, 2013)

New Systems and Algorithms for Scalable Fault Tolerance - Siddhartha Sen 001 (2013)

A Back-to-Basics Empirical Study of Priority Queues. - Daniel H. Larkin; Siddhartha Sen 001; Robert Endre Tarjan (ALENEX, 2014)

Aggregation and Degradation in JetStream: Streaming Analytics in the Wide Area. - Ariel Rabkin; Matvey Arye; Siddhartha Sen 001; Vivek S. Pai; Michael J. Freedman (NSDI, 2014)

Deletion without rebalancing in multiway search trees. - Siddhartha Sen 001; Robert Endre Tarjan (ACM Trans. Database Syst., 2014)

Rank-Balanced Trees. - Bernhard Haeupler; Siddhartha Sen 001; Robert Endre Tarjan (ACM Trans. Algorithms, 2015)

Balancing CPU and Network in the Cell Distributed B-Tree Store. - Christopher Mitchell; Kate Montgomery; Lamont Nelson; Siddhartha Sen 001; Jinyang Li 001 (USENIX ATC, 2016)

A Multiworld Testing Decision Service. - Alekh Agarwal; Sarah Bird; Markus Cozowicz; Luong Hoang; John Langford 001; Stephen Lee; Jiaji Li; I. Dan Melamed; Gal Oshri; Oswaldo Ribas; Siddhartha Sen 001; Alex Slivkins (CoRR, 2016)

Deletion Without Rebalancing in Binary Search Trees. - Siddhartha Sen 001; Robert E. Tarjan; David Hong Kyun Kim (ACM Trans. Algorithms, 2016)

Black-box Concurrent Data Structures for NUMA Architectures. - Irina Calciu; Siddhartha Sen 001; Mahesh Balakrishnan 001; Marcos K. Aguilera (ASPLOS, 2017)

Harvesting Randomness to Optimize Distributed Systems. - Mathias Lécuyer; Joshua Lockerman; Lamont Nelson; Siddhartha Sen 001; Amit Sharma 007; Aleksandrs Slivkins (HotNets, 2017)

Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization. - Mathias Lécuyer; Riley Spahn; Roxana Geambasu; Tzu-Kuo Huang; Siddhartha Sen 001 (IEEE Symposium on Security and Privacy, 2017)

Hyperbolic Caching: Flexible Caching for Web Applications. - Aaron Blankstein; Siddhartha Sen 001; Michael J. Freedman (USENIX ATC, 2017)

Brief Announcement: Black-Box Concurrent Data Structures for NUMA Architectures. - Irina Calciu; Siddhartha Sen 001; Mahesh Balakrishnan 001; Marcos K. Aguilera (DISC, 2017)

What's Happening and What Happened: Searching the Social Web. - Omar Alonso; Vasileios Kandylas; Serge-Eric Tremblay; Jake M. Hofman; Siddhartha Sen 001 (WebSci, 2017)

How to implement any concurrent data structure for modern servers. - Irina Calciu; Siddhartha Sen 001; Mahesh Balakrishnan 001; Marcos K. Aguilera (ACM SIGOPS Oper. Syst. Rev., 2017)

How to Make Decisions (Optimally) (Keynote). - Siddhartha Sen 001 (OPODIS, 2018)

RobinHood: Tail Latency Aware Caching - Dynamic Reallocation from Cache-Rich to Cache-Poor. - Daniel S. Berger; Benjamin Berg; Timothy Zhu; Siddhartha Sen 001; Mor Harchol-Balter (OSDI, 2018)

The FuzzyLog: A Partially Ordered Shared Log. - Joshua Lockerman; Jose M. Faleiro; Juno Kim; Soham Sankaran; Daniel J. Abadi; James Aspnes; Siddhartha Sen 001; Mahesh Balakrishnan 001 (OSDI, 2018)

Chameleon: scalable adaptation of video analytics. - Junchen Jiang; Ganesh Ananthanarayanan; Peter Bodík; Siddhartha Sen 001; Ion Stoica (SIGCOMM, 2018)

How to implement any concurrent data structure. - Irina Calciu; Siddhartha Sen 001; Mahesh Balakrishnan 001; Marcos K. Aguilera (Commun. ACM, 2018)

Enhancing Selectivity in Big Data. - Mathias Lécuyer; Riley Spahn; Roxana Geambasu; Tzu-Kuo Huang; Siddhartha Sen 001 (IEEE Secur. Priv., 2018)

Maximizing Page-Level Cache Hit Ratios in LargeWeb Services. - Justin Wang; Benjamin Berg; Daniel S. Berger; Siddhartha Sen 001 (SIGMETRICS Perform. Evaluation Rev., 2018)

E2E: embracing user heterogeneity to improve quality of experience on the web. - Xu Zhang; Siddhartha Sen 001; Daniar Heri Kurniawan; Haryadi S. Gunawi; Junchen Jiang (SIGCOMM, 2019)

Poor Video Streaming Performance Explained (and Fixed). - Matvey Arye; Siddhartha Sen 001; Michael J. Freedman (CoRR, 2019)

SysML: The New Frontier of Machine Learning Systems. - Alexander Ratner; Dan Alistarh; Gustavo Alonso; David G. Andersen; Peter Bailis; Sarah Bird; Nicholas Carlini; Bryan Catanzaro; Eric S. Chung; Bill Dally; Jeff Dean; Inderjit S. Dhillon; et al. (CoRR, 2019)

Disaggregation and the Application. - Sebastian Angel; Mihir Nanavati; Siddhartha Sen 001 (HotCloud, 2020)

Aligning Superhuman AI with Human Behavior: Chess as a Model System. - Reid McIlroy-Young; Siddhartha Sen 001; Jon M. Kleinberg; Ashton Anderson (KDD, 2020)

Performance-Optimal Read-Only Transactions. - Haonan Lu; Siddhartha Sen 001; Wyatt Lloyd (OSDI, 2020)

Tolerating Slowdowns in Replicated State Machines using Copilots. - Khiem Ngo; Siddhartha Sen 001; Wyatt Lloyd (OSDI, 2020)

Expanding the Scope of Reproducibility Research Through Data Analysis Replications. - Jake M. Hofman; Daniel G. Goldstein; Siddhartha Sen 001; Forough Poursabzi-Sangdeh (WWW (Companion Volume), 2020)

Aligning Superhuman AI and Human Behavior: Chess as a Model System. - Reid McIlroy-Young; Siddhartha Sen 001; Jon M. Kleinberg; Ashton Anderson (CoRR, 2020)

A New Abstraction for Internet QoE Optimization. - Junchen Jiang; Siddhartha Sen 001 (CoRR, 2020)

Learning Personalized Models of Human Behavior in Chess. - Reid McIlroy-Young; Russell Wang; Siddhartha Sen 001; Jon M. Kleinberg; Ashton Anderson (CoRR, 2020)

Sayer: Using Implicit Feedback to Optimize System Policies. - Mathias Lécuyer; Sang Hoon Kim; Mihir Nanavati; Junchen Jiang; Siddhartha Sen 001; Aleksandrs Slivkins; Amit Sharma 007 (SoCC, 2021)

TraceSplitter: a new paradigm for downscaling traces. - Sultan Mahmud Sajal; Rubaba Hasan; Timothy Zhu; Bhuvan Urgaonkar; Siddhartha Sen 001 (EuroSys, 2021)

SmartHarvest: harvesting idle CPUs safely and efficiently in the cloud. - Yawen Wang; Kapil Arya; Marios Kogias; Manohar Vanga; Aditya Bhandari; Neeraja J. Yadwadkar; Siddhartha Sen 001; Sameh Elnikety; Christos Kozyrakis; Ricardo Bianchini (EuroSys, 2021)

Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess. - Reid McIlroy-Young; Yu Wang; Siddhartha Sen 001; Jon M. Kleinberg; Ashton Anderson (NeurIPS, 2021)

SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity. - Xu Zhang; Yiyang Ou; Siddhartha Sen 001; Junchen Jiang (NSDI, 2021)

Mimetic Models: Ethical Implications of AI that Acts Like You. - Reid McIlroy-Young; Jon M. Kleinberg; Siddhartha Sen 001; Solon Barocas; Ashton Anderson (AIES, 2022)

Rolis: a software approach to efficiently replicating multi-core transactions. - Weihai Shen; Ansh Khanna; Sebastian Angel; Siddhartha Sen 001; Shuai Mu 001 (EuroSys, 2022)

Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments. - Jinkun Lin; Anqi Zhang; Mathias Lécuyer; Jinyang Li 001; Aurojit Panda; Siddhartha Sen 001 (ICML, 2022)

Learning Models of Individual Behavior in Chess. - Reid McIlroy-Young; Russell Wang; Siddhartha Sen 001; Jon M. Kleinberg; Ashton Anderson (KDD, 2022)

Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess. - Reid McIlroy-Young; Russell Wang; Siddhartha Sen 001; Jon M. Kleinberg; Ashton Anderson (CoRR, 2022)

Splice: Efficiently Removing a User's Data from In-memory Application State. - Xueyuan Han; James Mickens; Siddhartha Sen 001 (CCS, 2023)

CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models. - Caroline Lemieux; Jeevana Priya Inala; Shuvendu K. Lahiri; Siddhartha Sen 001 (ICSE, 2023)

NCC: Natural Concurrency Control for Strictly Serializable Datastores by Avoiding the Timestamp-Inversion Pitfall. - Haonan Lu; Shuai Mu 001; Siddhartha Sen 001; Wyatt Lloyd (OSDI, 2023)

Variance, Self-Consistency, and Arbitrariness in Fair Classification. - A. Feder Cooper; Solon Barocas; Christopher De Sa; Siddhartha Sen 001 (CoRR, 2023)

Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. - Lukas Schäfer 001; Logan Jones; Anssi Kanervisto; Yuhan Cao 001; Tabish Rashid; Raluca Georgescu; David Bignell; Siddhartha Sen 001; Andrea Treviño Gavito; Sam Devlin (CoRR, 2023)

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification. - A. Feder Cooper; Katherine Lee; Madiha Zahrah Choksi; Solon Barocas; Christopher De Sa; James Grimmelmann; Jon M. Kleinberg; Siddhartha Sen 001; Baobao Zhang (AAAI, 2024)

TraceUpscaler: Upscaling Traces to Evaluate Systems at High Load. - Sultan Mahmud Sajal; Timothy Zhu; Bhuvan Urgaonkar; Siddhartha Sen 001 (EuroSys, 2024)

Designing Skill-Compatible AI: Methodologies and Frameworks in Chess. - Karim Hamade; Reid McIlroy-Young; Siddhartha Sen 001; Jon M. Kleinberg; Ashton Anderson (ICLR, 2024)

Maia-2: A Unified Model for Human-AI Alignment in Chess. - Zhenwei Tang; Difan Jiao; Reid McIlroy-Young; Jon M. Kleinberg; Siddhartha Sen 001; Ashton Anderson (NeurIPS, 2024)

Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning. - Nabil Omi; Hosein Hasanbeig; Hiteshi Sharma; Sriram K. Rajamani; Siddhartha Sen 001 (CoRR, 2024)

Online Reinforcement Learning in Non-Stationary Context-Driven Environments. - Pouya Hamadanian; Arash Nasr-Esfahany; Malte Schwarzkopf; Siddhartha Sen 001; Mohammad Alizadeh (ICLR, 2025)

Mako: Speculative Distributed Transactions with Geo-Replication. - Weihai Shen; Yang Cui; Siddhartha Sen 001; Sebastian Angel; Shuai Mu 001 (OSDI, 2025)

Generative Modeling of Individual Behavior at Scale. - Nabil Omi; Lucas Caccia; Anurag Sarkar; Jordan T. Ash; Siddhartha Sen 001 (CoRR, 2025)

Load Balancing Mixture of Experts with Similarity Preserving Routers. - Nabil Omi; Siddhartha Sen 001; Ali Farhadi (CoRR, 2025)

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess. - Zhenwei Tang; Difan Jiao; Eric Xue 002; Reid McIlroy-Young; Jon M. Kleinberg; Siddhartha Sen 001; Ashton Anderson (CoRR, 2025)