Rahul Savani - RankMe

148 papers A* 19A 17B 6C 3Journal 85Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Complexity of Sparse Win-Lose Bimatrix Games. CoRR Eleni Batziou, John Fearnley, Abheek Ghosh, Rahul Savani
2025	J	`jnl`	Difference rewards policy gradients. Neural Comput. Appl. Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
2025	A	`conf`	From Natural Language to Extensive-Form Game Representations. AAMAS Shilong Deng, Yongzhao Wang, Rahul Savani
2025	J	`jnl`	From Natural Language to Extensive-Form Game Representations. CoRR Shilong Deng, Yongzhao Wang, Rahul Savani
2025	J	`jnl`	MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures. CoRR Elena Zamaraeva, Christopher M. Collins, George R. Darling, Matthew S. Dyer, Bei Peng, Rahul Savani, Dmytro Antypov, Vladimir V. Gusev, Judith Clymo, Paul G. Spirakis, Matthew J. Rosseinsky
2025	A*	`conf`	Monotone Contractions. STOC Eleni Batziou, John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani
2025	J	`jnl`	Physics-informed diffusion models for extrapolating crystal structures beyond known motifs. CoRR Andrij Vasylenko, Federico Ottomano, Christopher M. Collins, Rahul Savani, Matthew S. Dyer, Matthew J. Rosseinsky
2025	J	`jnl`	The Complexity of Computing KKT Solutions of Quadratic Programs. J. ACM John Fearnley, Paul W. Goldberg, Alexandros Hollender, Rahul Savani
2024	A*	`conf`	A Strategic Analysis of Prepayments in Financial Credit Networks. IJCAI Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge
2024	J	`jnl`	Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials. CoRR Federico Ottomano, John Yannis Goulermas, Vladimir V. Gusev, Rahul Savani, Michael W. Gaultois, Troy D. Manning, Hai Lin, Teresa P. Manzanera, Emmeline G. Poole, Matthew S. Dyer, John B. Claridge, Jon Alaria, Luke M. Daniels, Su Varma, David Rimmer, Kevin Sanderson, Matthew J. Rosseinsky
2024	—	`conf`	Empirical Mixnet Design. GameSec (2) Yongzhao Wang, Tariq Elahi, Vasilios Mavroudis, Edward Plumb, Rahul Savani, Theodore L. Turocy
2024	—	`conf`	Market Making with Learned Beta Policies. ICAIF Yongzhao Wang, Rahul Savani, Anri Gu, Chris Mascioli, Theodore L. Turocy, Michael P. Wellman
2024	J	`jnl`	Monotone Contractions. CoRR Eleni Batziou, John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani
2024	A	`conf`	Ordinal Potential-based Player Rating. AISTATS Nelson Vadori, Rahul Savani
2024	A*	`conf`	Policy Space Response Oracles: A Survey. IJCAI Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
2024	J	`jnl`	Policy Space Response Oracles: A Survey. CoRR Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
2024	J	`jnl`	Selfishly Prepaying in Financial Credit Networks. J. Artif. Intell. Res. Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge
2024	J	`jnl`	Super Unique Tarski is in UEOPL. CoRR John Fearnley, Rahul Savani
2024	A*	`conf`	The Complexity of Computing KKT Solutions of Quadratic Programs. STOC John Fearnley, Paul W. Goldberg, Alexandros Hollender, Rahul Savani
2024	—	`conf`	The Effect of Liquidity on the Spoofability of Financial Markets. ICAIF Anri Gu, Yongzhao Wang, Chris Mascioli, Mithun Chakraborty, Rahul Savani, Theodore L. Turocy, Michael P. Wellman
2024	A*	`conf`	Two Choices Are Enough for P-LCPs, USOs, and Colorful Tangents. ICALP Michaela Borzechowski, John Fearnley, Spencer Gordon, Rahul Savani, Patrick Schnider, Simon Weber
2024	J	`jnl`	Two Choices are Enough for P-LCPs, USOs, and Colorful Tangents. CoRR Michaela Borzechowski, John Fearnley, Spencer Gordon, Rahul Savani, Patrick Schnider, Simon Weber
2023	—	`conf`	Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness. ICAIF Andrea Coletta, Joseph Jerome, Rahul Savani, Svitlana Vyetrenko
2023	J	`jnl`	Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness. CoRR Andrea Coletta, Joseph Jerome, Rahul Savani, Svitlana Vyetrenko
2023	J	`jnl`	First Order Methods for Geometric Optimization of Crystal Structures. CoRR Antonia Tsili, Matthew S. Dyer, Vladimir V. Gusev, Piotr Krysta, Rahul Savani
2023	—	`conf`	Mbt-gym: Reinforcement learning for model-based limit order book trading. ICAIF Joseph Jerome, Leandro Sánchez-Betancourt, Rahul Savani, Martin Herdegen
2023	J	`jnl`	Ordinal Potential-based Player Rating. CoRR Nelson Vadori, Rahul Savani
2023	J	`jnl`	The Complexity of Computing KKT Solutions of Quadratic Programs. CoRR John Fearnley, Paul W. Goldberg, Alexandros Hollender, Rahul Savani
2023	J	`jnl`	The Complexity of Gradient Descent: CLS = PPAD ∩ PLS. J. ACM John Fearnley, Paul Goldberg, Alexandros Hollender, Rahul Savani
2022	—	`ed.`	3rd ACM International Conference on AI in Finance, ICAIF 2022, New York, NY, USA, November 2-4, 2022 ICAIF Daniele Magazzeni, Senthil Kumar, Rahul Savani, Renyuan Xu, Carmine Ventre, Blanka Horvath, Ruimeng Hu, Tucker Balch, Francesca Toni
2022	J	`jnl`	A Faster Algorithm for Finding Tarski Fixed Points. ACM Trans. Algorithms John Fearnley, Dömötör Pálvölgyi, Rahul Savani
2022	A*	`conf`	Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. ICML Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
2022	—	`conf`	Generative Models over Neural Controllers for Transfer Learning. PPSN (1) James Butterworth, Rahul Savani, Karl Tuyls
2022	—	`conf`	Market Making with Scaled Beta Policies. ICAIF Joseph Jerome, Gregory Palmer, Rahul Savani
2022	J	`jnl`	Market Making with Scaled Beta Policies. CoRR Joseph Jerome, Gregory Palmer, Rahul Savani
2022	J	`jnl`	Model-based gym environments for limit order book trading. CoRR Joseph Jerome, Leandro Sánchez-Betancourt, Rahul Savani, Martin Herdegen
2022	A	`conf`	Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. AAMAS Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
2021	A	`conf`	A Faster Algorithm for Finding Tarski Fixed Points. STACS John Fearnley, Rahul Savani
2021	J	`jnl`	Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2021	J	`jnl`	Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. CoRR Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
2021	A	`conf`	Difference Rewards Policy Gradients. AAMAS Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
2021	J	`jnl`	Reachability Switching Games. Log. Methods Comput. Sci. John Fearnley, Martin Gairing, Matthias Mnich, Rahul Savani
2021	J	`jnl`	Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. CoRR Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
2021	—	`conf`	The Complexity of Gradient Descent (Invited Talk). FSTTCS Rahul Savani
2021	A*	`conf`	The complexity of gradient descent: CLS = PPAD ∩ PLS. STOC John Fearnley, Paul W. Goldberg, Alexandros Hollender, Rahul Savani
2021	J	`jnl`	Trading via Selective Classification. CoRR Nestoras Chalkidis, Rahul Savani
2021	—	`conf`	Trading via selective classification. ICAIF Nestoras Chalkidis, Rahul Savani
2020	J	`jnl`	A Natural Actor-Critic Algorithm with Downside Risk Constraints. CoRR Thomas Spooner, Rahul Savani
2020	J	`jnl`	A deep learning approach to identify unhealthy advertisements in street view images. CoRR Gregory Palmer, Mark Green, Emma Boyland, Yales Stefano Rios Vasconcelos, Rahul Savani, Alex Singleton
2020	J	`jnl`	A faster algorithm for finding Tarski fixed points. CoRR John Fearnley, Rahul Savani
2020	J	`jnl`	Difference Rewards Policy Gradients. CoRR Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
2020	J	`jnl`	Mapping the geodemographics of digital inequality in Great Britain: An integration of machine learning into small area estimation. Comput. Environ. Urban Syst. Alex Singleton, Alexandros Alexiou, Rahul Savani
2020	A*	`conf`	One-Clock Priced Timed Games are PSPACE-hard. LICS John Fearnley, Rasmus Ibsen-Jensen, Rahul Savani
2020	J	`jnl`	One-Clock Priced Timed Games are PSPACE-hard. CoRR John Fearnley, Rasmus Ibsen-Jensen, Rahul Savani
2020	A	`conf`	Robust Market Making via Adversarial Reinforcement Learning. AAMAS Thomas Spooner, Rahul Savani
2020	A*	`conf`	Robust Market Making via Adversarial Reinforcement Learning. IJCAI Thomas Spooner, Rahul Savani
2020	J	`jnl`	Robust Market Making via Adversarial Reinforcement Learning. CoRR Thomas Spooner, Rahul Savani
2020	A	`conf`	The Automated Inspection of Opaque Liquid Vaccines. ECAI Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore
2020	J	`jnl`	The Automated Inspection of Opaque Liquid Vaccines. CoRR Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore
2020	J	`jnl`	The Complexity of Gradient Descent: CLS = PPAD ∩ PLS. CoRR John Fearnley, Paul W. Goldberg, Alexandros Hollender, Rahul Savani
2020	A*	`conf`	Tree Polymatrix Games Are PPAD-Hard. ICALP Argyrios Deligkas, John Fearnley, Rahul Savani
2020	J	`jnl`	Tree Polymatrix Games are PPAD-hard. CoRR Argyrios Deligkas, John Fearnley, Rahul Savani
2020	J	`jnl`	Unique end of potential line. J. Comput. Syst. Sci. John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani
2019	J	`jnl`	Computing Stable Outcomes in Symmetric Additively Separable Hedonic Games. Math. Oper. Res. Martin Gairing, Rahul Savani
2019	J	`jnl`	Distributed Methods for Computing Approximate Equilibria. Algorithmica Artur Czumaj, Argyrios Deligkas, Michail Fasoulakis, John Fearnley, Marcin Jurdzinski, Rahul Savani
2019	J	`jnl`	Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT. CoRR James Butterworth, Rahul Savani, Karl Tuyls
2019	—	`conf`	Evolving indoor navigational strategies using gated recurrent units in NEAT. GECCO (Companion) James Butterworth, Rahul Savani, Karl Tuyls
2019	A	`conf`	Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. AAMAS Gregory Palmer, Rahul Savani, Karl Tuyls
2019	J	`jnl`	Preface to the Special Issue on Algorithmic Game Theory. Theory Comput. Syst. Martin Gairing, Rahul Savani
2019	A	`conf`	The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. AAMAS Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2019	J	`jnl`	The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. CoRR Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2019	A*	`conf`	Unique End of Potential Line. ICALP John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani
2018	—	`conf`	Beyond Local Nash Equilibria for Adversarial Networks. BNCAI Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
2018	J	`jnl`	Beyond Local Nash Equilibria for Adversarial Networks. CoRR Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
2018	J	`jnl`	End of Potential Line. CoRR John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani
2018	J	`jnl`	Inapproximability results for constrained approximate Nash equilibria. Inf. Comput. Argyrios Deligkas, John Fearnley, Rahul Savani
2018	A	`conf`	Lenient Multi-Agent Deep Reinforcement Learning. AAMAS Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani
2018	A	`conf`	Market Making via Reinforcement Learning. AAMAS Thomas Spooner, John Fearnley, Rahul Savani, Andreas Koukorinis
2018	J	`jnl`	Market Making via Reinforcement Learning. CoRR Thomas Spooner, John Fearnley, Rahul Savani, Andreas Koukorinis
2018	J	`jnl`	Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. CoRR Gregory Palmer, Rahul Savani, Karl Tuyls
2018	A*	`conf`	Reachability Switching Games. ICALP John Fearnley, Martin Gairing, Matthias Mnich, Rahul Savani
2018	J	`jnl`	Space Debris Removal: Learning to Cooperate and the Price of Anarchy. Frontiers Robotics AI Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Alexander Wittig, Andrei Sapera, Dario Izzo
2018	J	`jnl`	The Complexity of All-switches Strategy Improvement. Log. Methods Comput. Sci. John Fearnley, Rahul Savani
2018	J	`jnl`	Unique End of Potential Line. CoRR John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani
2017	J	`jnl`	CLS: New Problems and Completeness. CoRR John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani
2017	J	`jnl`	Computing Approximate Nash Equilibria in Polymatrix Games. Algorithmica Argyrios Deligkas, John Fearnley, Rahul Savani, Paul G. Spirakis
2017	B	`conf`	Computing Constrained Approximate Equilibria in Polymatrix Games. SAGT Argyrios Deligkas, John Fearnley, Rahul Savani
2017	J	`jnl`	Computing Constrained Approximate Equilibria in Polymatrix Games. CoRR Argyrios Deligkas, John Fearnley, Rahul Savani
2017	J	`jnl`	GANGs: Generative Adversarial Network Games. CoRR Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross
2017	J	`jnl`	Lenient Multi-Agent Deep Reinforcement Learning. CoRR Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani
2017	A	`conf`	LiftUpp: Support to Develop Learner Performance. AIED Frans A. Oliehoek, Rahul Savani, Elliot Adderton, Xia Cui, David Jackson, Phil Jimmieson, John Christopher Jones, Keith Kennedy, Ben Mason, Adam Plumbley, Luke Dawson
2017	J	`jnl`	LiftUpp: Support to develop learner performance. CoRR Frans A. Oliehoek, Rahul Savani, Elliot Adderton, Xia Cui, David Jackson, Phil Jimmieson, John Christopher Jones, Keith Kennedy, Ben Mason, Adam Plumbley, Luke Dawson
2017	J	`jnl`	Reachability Switching Games. CoRR John Fearnley, Martin Gairing, Matthias Mnich, Rahul Savani
2017	J	`jnl`	Symmetric Decomposition of Asymmetric Games. CoRR Karl Tuyls, Julien Pérolat, Marc Lanctot, Georg Ostrovski, Rahul Savani, Joel Z. Leibo, Toby Ord, Thore Graepel, Shane Legg
2016	B	`ed.`	Algorithmic Game Theory - 9th International Symposium, SAGT 2016, Liverpool, UK, September 19-21, 2016. Proceedings SAGT Martin Gairing, Rahul Savani
2016	A	`conf`	An Empirical Study on Computing Equilibria in Polymatrix Games. AAMAS Argyrios Deligkas, John Fearnley, Tobenna Peter Igwe, Rahul Savani
2016	J	`jnl`	An Empirical Study on Computing Equilibria in Polymatrix Games. CoRR Argyrios Deligkas, John Fearnley, Tobenna Peter Igwe, Rahul Savani
2016	J	`jnl`	Approximate Well-supported Nash Equilibria Below Two-thirds. Algorithmica John Fearnley, Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen
2016	—	`conf`	Distributed Methods for Computing Approximate Equilibria. WINE Artur Czumaj, Argyrios Deligkas, Michail Fasoulakis, John Fearnley, Marcin Jurdzinski, Rahul Savani
2016	J	`jnl`	Finding Approximate Nash Equilibria of Bimatrix Games via Payoff Queries. ACM Trans. Economics and Comput. John Fearnley, Rahul Savani
2016	—	`ch.`	Hedonic Games. Handbook of Computational Social Choice Haris Aziz, Rahul Savani
2016	—	`conf`	Inapproximability Results for Approximate Nash Equilibria. WINE Argyrios Deligkas, John Fearnley, Rahul Savani
2016	J	`jnl`	Inapproximability Results for Approximate Nash Equilibria. CoRR Argyrios Deligkas, John Fearnley, Rahul Savani
2016	A	`conf`	Space Debris Removal: A Game Theoretic Analysis. ECAI Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo
2016	J	`jnl`	Space Debris Removal: A Game Theoretic Analysis. Games Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo
2016	A*	`conf`	The Complexity of All-switches Strategy Improvement. SODA John Fearnley, Rahul Savani
2015	B	`conf`	An Empirical Study of Finding Approximate Equilibria in Bimatrix Games. SEA John Fearnley, Tobenna Peter Igwe, Rahul Savani
2015	J	`jnl`	An Empirical Study of Finding Approximate Equilibria in Bimatrix Games. CoRR John Fearnley, Tobenna Peter Igwe, Rahul Savani
2015	J	`jnl`	Computing stable outcomes in symmetric additively-separable hedonic games. CoRR Martin Gairing, Rahul Savani
2015	J	`jnl`	Distributed Methods for Computing Approximate Equilibria. CoRR Artur Czumaj, Argyrios Deligkas, Michail Fasoulakis, John Fearnley, Marcin Jurdzinski, Rahul Savani
2015	J	`jnl`	Game Theory Explorer: software for the applied game theorist. Comput. Manag. Sci. Rahul Savani, Bernhard von Stengel
2015	J	`jnl`	Learning equilibria of games via payoff queries. J. Mach. Learn. Res. John Fearnley, Martin Gairing, Paul W. Goldberg, Rahul Savani
2015	J	`jnl`	The Complexity of All-switches Strategy Improvement. CoRR John Fearnley, Rahul Savani
2015	A*	`conf`	The Complexity of the Simplex Method. STOC John Fearnley, Rahul Savani
2015	J	`jnl`	Unit Vector Games. CoRR Rahul Savani, Bernhard von Stengel
2014	C	`conf`	A data rich money market model - agent-based modelling for financial stability. SIMULTECH Paul Devine, Rahul Savani
2014	—	`conf`	Computing Approximate Nash Equilibria in Polymatrix Games. WINE Argyrios Deligkas, John Fearnley, Rahul Savani, Paul G. Spirakis
2014	J	`jnl`	Computing Approximate Nash Equilibria in Polymatrix Games. CoRR Argyrios Deligkas, John Fearnley, Rahul Savani, Paul G. Spirakis
2014	A	`conf`	Cooperative max games and agent failures. AAMAS Yoram Bachrach, Rahul Savani, Nisarg Shah
2014	J	`jnl`	Equilibrium Computation (Dagstuhl Seminar 14342). Dagstuhl Reports Nimrod Megiddo, Kurt Mehlhorn, Rahul Savani, Vijay V. Vazirani
2014	A*	`conf`	Finding approximate Nash equilibria of bimatrix games via payoff queries. EC John Fearnley, Rahul Savani
2014	J	`jnl`	Game Theory Explorer - Software for the Applied Game Theorist. CoRR Rahul Savani, Bernhard von Stengel
2014	A*	`conf`	Increasing VCG Revenue by Decreasing the Quality of Items. AAAI Mingyu Guo, Argyrios Deligkas, Rahul Savani
2014	J	`jnl`	The Complexity of the Simplex Method. CoRR John Fearnley, Rahul Savani
2013	J	`jnl`	Finding Approximate Nash Equilibria of Bimatrix Games via Payoff Queries. CoRR John Fearnley, Rahul Savani
2013	J	`jnl`	Learning Equilibria of Games via Payoff Queries CoRR John Fearnley, Martin Gairing, Paul W. Goldberg, Rahul Savani
2013	A*	`conf`	Learning equilibria of games via payoff queries. EC John Fearnley, Martin Gairing, Paul Goldberg, Rahul Savani
2013	J	`jnl`	On the approximation performance of fictitious play in finite games. Int. J. Game Theory Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen, Carmine Ventre
2013	—	`conf`	Polylogarithmic Supports Are Required for Approximate Well-Supported Nash Equilibria below 2/3. WINE Yogesh Anbalagan, Sergey Norin, Rahul Savani, Adrian Vetta
2013	J	`jnl`	Polylogarithmic Supports are required for Approximate Well-Supported Nash Equilibria below 2/3. CoRR Yogesh Anbalagan, Sergey Norin, Rahul Savani, Adrian Vetta
2013	J	`jnl`	The Complexity of the Homotopy Method, Equilibrium Selection, and Lemke-Howson Solutions. ACM Trans. Economics and Comput. Paul W. Goldberg, Christos H. Papadimitriou, Rahul Savani
2012	B	`conf`	Approximate Well-Supported Nash Equilibria Below Two-Thirds. SAGT John Fearnley, Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen
2012	J	`jnl`	Approximate Well-supported Nash Equilibria below Two-thirds CoRR John Fearnley, Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen
2012	J	`jnl`	High-Frequency Trading: The Faster, the Better? IEEE Intell. Syst. Rahul Savani
2011	A	`conf`	Computing stable outcomes in hedonic games with voting-based deviations. AAMAS Martin Gairing, Rahul Savani
2011	J	`jnl`	On the Approximation Performance of Fictitious Play in Finite Games CoRR Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen, Carmine Ventre
2011	A	`conf`	On the Approximation Performance of Fictitious Play in Finite Games. ESA Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen, Carmine Ventre
2011	A*	`conf`	The Complexity of the Homotopy Method, Equilibrium Selection, and Lemke-Howson Solutions. FOCS Paul W. Goldberg, Christos H. Papadimitriou, Rahul Savani
2010	B	`conf`	Computing Stable Outcomes in Hedonic Games. SAGT Martin Gairing, Rahul Savani
2010	B	`conf`	Linear Complementarity Algorithms for Infinite Games. SOFSEM John Fearnley, Marcin Jurdzinski, Rahul Savani
2010	J	`jnl`	The Complexity of the Homotopy Method, Equilibrium Selection, and Lemke-Howson Solutions CoRR Paul W. Goldberg, Christos H. Papadimitriou, Rahul Savani
2009	J	`jnl`	Linear Complementarity Algorithms for Infinite Games CoRR John Fearnley, Marcin Jurdzinski, Rahul Savani
2009	C	`conf`	Power Indices in Spanning Connectivity Games. AAIM Haris Aziz, Oded Lachish, Mike Paterson, Rahul Savani
2009	J	`jnl`	Spanning connectivity games CoRR Haris Aziz, Oded Lachish, Mike Paterson, Rahul Savani
2009	—	`conf`	Wiretapping a Hidden Network. WINE Haris Aziz, Oded Lachish, Mike Paterson, Rahul Savani
2009	J	`jnl`	Wiretapping a hidden network CoRR Haris Aziz, Oded Lachish, Mike Paterson, Rahul Savani
2008	C	`conf`	A Simple P-Matrix Linear Complementarity Problem for Discounted Games. CiE Marcin Jurdzinski, Rahul Savani
2004	A*	`conf`	Exponentially Many Steps for Finding a Nash Equilibrium in a Bimatrix Game. FOCS Rahul Savani, Bernhard von Stengel