Roshan Shariff

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All published works

Action	Title	Year	Authors
+	Prototyping three key properties of specific curiosity in computational reinforcement learning	2022	Nadia M. Ady Roshan Shariff Johannes Günther Patrick M. Pilarski
+	Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have	2022	Nadia M. Ady Roshan Shariff Johannes Günther Patrick M. Pilarski
+	Efficient Planning in Large MDPs with Weak Linear Function Approximation	2020	Roshan Shariff Csaba Szepesvári
+	Efficient Planning in Large MDPs with Weak Linear Function Approximation	2020	Roshan Shariff Csaba Szepesvári
+	Discounted Reinforcement Learning Is Not an Optimization Problem	2019	Abhishek Naik Roshan Shariff Niko Yasui Hengshuai Yao Richard S. Sutton
+	Differentially Private Contextual Linear Bandits	2018	Roshan Shariff Or Sheffet
+	Differentially Private Contextual Linear Bandits	2018	Roshan Shariff Or Sheffet
+	Conservative Bandits	2016	Yifan Wu Roshan Shariff Tor Lattimore Csaba Szepesvári
+	Conservative Bandits	2016	Yifan Wu Roshan Shariff Tor Lattimore Csaba Szepesvári
+	Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM	2015	Roshan Shariff András György Csaba Szepesvári

Common Coauthors

Coauthor	Papers Together
Csaba Szepesvári	5
Nadia M. Ady	2
Or Sheffet	2
Tor Lattimore	2
Johannes Günther	2
Patrick M. Pilarski	2
Richard S. Sutton	1
Yifan Wu	1
Abhishek Naik	1
András György	1
Hengshuai Yao	1
Niko Yasui	1
Yifan Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping	2010	Péter Torma András György Csaba Szepesvári	1
+	On the Complexity of Best Arm Identification in Multi-Armed Bandit Models	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier	1
+ PDF Chat	Optimization for Machine Learning	2011	Suvrit Sra Sebastian Nowozin Stephen J. Wright	1
+	Group invariance applications in statistics	1989	Morris L. Eaton	1
+	Group representations in probability and statistics	1988	Persi Diaconis	1
+	Invariant measures on groups and their use in statistics	1990	Robert A. Wijsman	1
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	1
+	Sequential choice from several populations.	1995	Michael N. Katehakis Herbert Robbins	1
+	Generalized polynomial approximations in Markovian decision processes	1985	Paul J. Schweitzer Abraham Seidmann	1
+ PDF Chat	Conditioning as disintegration	1997	Joseph T. Chang David Pollard	1
+	Parameter Expansion for Data Augmentation	1999	Jun S. Liu Ying Wu	1
+ PDF Chat	A note on Metropolis-Hastings kernels for general state spaces	1998	Luke Tierney	1
+	Towards automatic experimentation of educational knowledge	2014	Yun-En Liu Travis Mandel Emma Brunskill Zoran Popović	1
+	Introduction to the non-asymptotic analysis of random matrices	2010	Roman Vershynin	1
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	1
+	Generalised Gibbs sampler and multigrid Monte Carlo for Bayesian computation	2000	Jun S. Liu	1
+ PDF Chat	General state space Markov chains and MCMC algorithms	2004	Gareth O. Roberts Jeffrey S. Rosenthal	1
+	Group theoretical methods in machine learning	2008	Tony Jebara Imre Risi Kondor	1
+ PDF Chat	Learning Algorithms for Markov Decision Processes with Average Cost	2001	Jinane Abounadi Dimitri P. Bertsekas Vivek S. Borkar	1
+	Multiresolution analysis on the symmetric group	2012	Risi Kondor Walter Dempsey	1
+ PDF Chat	Simple Regret Optimization in Online Planning for Markov Decision Processes	2014	Zohar Feldman Carmel Domshlak	1
+	Linear Programming for Large-Scale Markov Decision Problems	2014	Alan Malek Yasin Abbasi-Yadkori Peter L. Bartlett	1
+	Optimally Confident UCB : Improved Regret for Finite-Armed Bandits.	2015	Tor Lattimore	1
+	Private Approximations of the 2nd-Moment Matrix Using Existing Techniques in Linear Regression	2015	Or Sheffet	1
+	Contextual Decision Processes with Low Bellman Rank are PAC-Learnable	2016	Nan Jiang Akshay Krishnamurthy Alekh Agarwal John Langford Robert E. Schapire	1
+	Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning	2016	Yi‐Chen Chen Mengdi Wang	1
+ PDF Chat	A Linearly Relaxed Approximate Linear Program for Markov Decision Processes	2017	Chandrashekar Lakshminarayanan Shalabh Bhatnagar Csaba Szepesvári	1
+	Finite Sample Differentially Private Confidence Intervals	2017	Vishesh Karwa Salil Vadhan	1
+	Large-Scale Markov Decision Problems via the Linear Programming Dual	2019	Yasin Abbasi-Yadkori Peter L. Bartlett Xi Chen Alan Malek	1
+	Hyperbolic Discounting and Learning over Multiple Horizons	2019	William Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle	1
+	Issues concerning realizability of Blackwell optimal policies in reinforcement learning	2019	Nicholas J. Denis	1
+ PDF Chat	Achieving Privacy in the Adversarial Multi-Armed Bandit	2017	Aristide C. Y. Tossou Christos Dimitrakakis	1
+	Unifying task specification in reinforcement learning	2016	Martha White	1
+	Markov Chains on Orbits of Permutation Groups	2012	Mathias Niepert	1
+	Examples concerning Abel and Cesàro limits	2014	Christopher J. Bishop Eugene A. Feinberg Junyu Zhang	1
+	Solving variational inequalities with stochastic mirror-prox algorithm	2011	Anatoli Juditsky Arkadi Nemirovski Claire Tauvel	1
+	Faster saddle-point optimization for solving large-scale Markov decision processes	2019	Joan Bas-Serrano Gergely Neu	1
+	Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning	2019	Simon S. Du Sham M. Kakade Ruosong Wang Lin F. Yang	1
+	Comments on the Du-Kakade-Wang-Yang Lower Bounds	2019	Benjamin Van Roy Shi Dong	1
+	Provably Efficient Reinforcement Learning with Linear Function Approximation	2019	Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan	1
+ PDF Chat	Efficient Solution Algorithms for Factored MDPs	2003	Carlos Guestrin Daphne Koller R. Parr Satchi Venkataraman	1
+	Wiley Series in Probability and Statistics	2007		1