Shie Mannor

Shie Mannor, Constantine Caramanis, Huan Xu, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Robustness, Risk, and Regularization in Support Vector Machines pdf

Shie Mannor, Constantine Caramanis, Huan Xu, 2008, ArXiv.

Community Detection via Measure Space Embedding

Shie Mannor, Mark Kozdoba, Shie Mannor, 2015, NIPS.

Overlapping Communities Detection via Measure Space Embedding pdf

Shie Mannor, Mark Kozdoba, Shie Mannor, 2015, ArXiv.

Overlapping Community Detection by Online Cluster Aggregation pdf

Shie Mannor, Mark Kozdoba, Shie Mannor, 2015, ArXiv.

Situationally Aware Options pdf

Shie Mannor, Aviv Tamar, Daniel J. Mankowitz, 2017, ArXiv.

Robust MDPs with k-Rectangular Uncertainty

Shie Mannor, Huan Xu, Ofir Mebel, 2016, Math. Oper. Res..

Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty pdf

Shie Mannor, Huan Xu, Ofir Mebel, 2012, ICML.

Percentile optimization in uncertain Markov decision processes with application to efficient exploration

Shie Mannor, Erick Delage, Shie Mannor, 2007, ICML '07.

Reinforcement learning in the presence of rare events

Shie Mannor, Doina Precup, Jordan Frank, 2008, ICML '08.

Practical Risk Measures in Reinforcement Learning pdf

Shie Mannor, Joel Oren, Dotan Di Castro, 2019, ArXiv.

Exploration-Exploitation in Constrained MDPs pdf

Shie Mannor, Matteo Pirotta, Yonathan Efroni, 2020, ArXiv.

Reward Constrained Policy Optimization pdf

Shie Mannor, Chen Tessler, Daniel J. Mankowitz, 2018, ICLR.

More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix

Shie Mannor, Koby Crammer, Yoav Haimovitch, 2012, ArXiv.

More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix pdf

Shie Mannor, Koby Crammer, Yoav Haimovitch, 2012, ArXiv.

How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks

Shie Mannor, Gal Chechik, E. Meirom, 2020, ArXiv.

Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms

Shie Mannor, Jiashi Feng, Bingyi Kang, 2016, ICLR.

Ensemble Robustness of Deep Learning Algorithms pdf

Shie Mannor, Jiashi Feng, Bingyi Kang, 2016, ArXiv.

Distinguishing Infections on Different Graph Topologies

Shie Mannor, Sanjay Shakkottai, Constantine Caramanis, 2013, IEEE Transactions on Information Theory.

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Dirk P. Kroese, R. Rubinstein, Shie Mannor, 2022 .

Multi-agent learning for engineers

Shie Mannor, Jeff S. Shamma, Shie Mannor, 2007, Artif. Intell..

Localized Epidemic Detection in Networks with Overwhelming Noise

Shie Mannor, Eli A. Meirom, Ariel Orda, 2014, SIGMETRICS.

Detecting epidemics using highly noisy data

Shie Mannor, Sanjay Shakkottai, Constantine Caramanis, 2013, MobiHoc.

Network forensics: random infection vs spreading epidemic

Shie Mannor, Sanjay Shakkottai, Constantine Caramanis, 2012, SIGMETRICS '12.

End-to-End Differentiable Adversarial Imitation Learning

Shie Mannor, Nir Baram, Oron Anschel, 2017, ICML.

Contextual Markov Decision Processes pdf

Shie Mannor, Dotan Di Castro, Assaf Hallak, 2015, ArXiv.

Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics

Shie Mannor, Ido Greenberg, Stav Belogolovsky, 2022, ArXiv.

Continuous Forecasting via Neural Eigen Decomposition

Shie Mannor, Ido Greenberg, Stav Belogolovsky, 2022, 2202.00117.

Detecting Rewards Deterioration in Episodic Reinforcement Learning

Shie Mannor, Ido Greenberg, Shie Mannor, 2020, ICML.

Outlier-Robust PCA: The High-Dimensional Case

Shie Mannor, Constantine Caramanis, Huan Xu, 2013, IEEE Transactions on Information Theory.

Random Tree Optimization for Energy-Efficient Broadcast in All-Wireless Networks

Shie Mannor, Andrew Lippman, Fulu Li, 2004 .

The cross entropy method for classification

Shie Mannor, Reuven Y. Rubinstein, Dori Peleg, 2005, ICML.

RL for Latent MDPs: Regret Guarantees and a Lower Bound pdf

Shie Mannor, Constantine Caramanis, Jeongyeol Kwon, 2021, NeurIPS.

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction pdf

Shie Mannor, Gal Chechik, Iuri Frosio, 2021, NeurIPS.

The cross-entropy method for power system combinatorial optimization problems

D. Ernst, M. Glavic, G.-B. Stan, 2007, 2007 IEEE Lausanne Power Tech.

Variance Estimation For Online Regression via Spectrum Thresholding

Shie Mannor, K. Crammer, Mark Kozdoba, 2019, ArXiv.

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters pdf

Shie Mannor, Jakub Marecek, Tigran T. Tchrakian, 2018, AAAI.

Distributionally Robust Markov Decision Processes

Shie Mannor, Huan Xu, Shie Mannor, 2010, Math. Oper. Res..

Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce

Shie Mannor, Alessandro Magnani, Tom Zahavy, 2018, AAAI.

Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce pdf

Shie Mannor, Alessandro Magnani, Tom Zahavy, 2016, AAAI 2016.

A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients

Moshe Tennenholtz, Shie Mannor, Mark Kozdoba, 2016, ArXiv.

Efficiency of Market-Based Resource Allocation among Many Participants

Shie Mannor, Jia Yuan Yu, Shie Mannor, 2007, IEEE Journal on Selected Areas in Communications.

Learning from Multiple Outlooks pdf

Maayan Harel, Shie Mannor, Shie Mannor, 2010, ICML.

Parametric regret in uncertain Markov decision processes

Shie Mannor, Huan Xu, Shie Mannor, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Multi-objective Bandits: Optimizing the Generalized Gini Index pdf

Shie Mannor, Balázs Szörényi, Róbert Busa-Fekete, 2017, ICML.

Large scale real-time bidding in the smart grid: A mean field framework

Shie Mannor, Peter E. Caines, Arman C. Kizilkale, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Hierarchical Decision Making In Electricity Grid Management pdf

Shie Mannor, Elad Gilboa, Gal Dalal, 2016, ICML.

Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem

Shie Mannor, Constantine Caramanis, Huan Xu, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning

Shie Mannor, Ishai Menache, Nahum Shimkin, 2002, ECML.

Maximizing the Total Reward via Reward Tweaking pdf

Shie Mannor, Chen Tessler, Shie Mannor, 2020, ArXiv.

Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons.

Shie Mannor, Chen Tessler, Shie Mannor, 2020 .

Efficiency loss in a network resource allocation game: the case of elastic supply

John N. Tsitsiklis, Ramesh Johari, Shie Mannor, 2004, IEEE Transactions on Automatic Control.

Stochastic Decoding of LDPC Codes over GF(q)

Shie Mannor, Warren J. Gross, Gabi Sarkis, 2013, IEEE Transactions on Communications.

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

Shie Mannor, Gal Dalal, Gal Chechik, 2022, 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid).

Regret Minimization in Nonstationary Markov Decision Processes

Shie Mannor, Jia Yuan Yu, Shie Mannor, 2010 .

Concurrent Bandits and Cognitive Radio Networks pdf

Shie Mannor, Orly Avner, Shie Mannor, 2014, ECML/PKDD.

Known unknowns: Learning novel concepts using reasoning-by-elimination

Shie Mannor, Eli A. Meirom, Yuval Atzmon, 2021, UAI.

Finite Sample Analyses for TD(0) With Function Approximation

Shie Mannor, Balázs Szörényi, Gugan Thoppe, 2017, AAAI.

Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests

Maayan Harel, Shie Mannor, Ran El-Yaniv, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Rotting Bandits

Shie Mannor, Koby Crammer, Nir Levine, 2017, NIPS.

Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images

Shie Mannor, Shreyansh Gandhi, Samrat Kokkula, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles

Shie Mannor, Peter Karkus, M. Pavone, 2022, CoRL.

Proxy Voting for Better Outcomes pdf

Shie Mannor, Eli A. Meirom, Ariel Orda, 2016, AAMAS.

Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces pdf

Shie Mannor, Tom Zahavy, Chen Tessler, 2019, ArXiv.

Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning

Shie Mannor, Tom Zahavy, Daniel J. Mankowitz, 2018, NeurIPS.

Policy Gradients with Variance Related Risk Criteria

Shie Mannor, Dotan Di Castro, Aviv Tamar, 2012, ICML.

Deep Learning Reconstruction of Ultrashort Pulses

Shie Mannor, Tom Zahavy, Mordechai Segev, 2018, 2018 Conference on Lasers and Electro-Optics (CLEO).

Language is Power: Representing States Using Natural Language in Reinforcement Learning.

Shie Mannor, Guy Tennenholtz, Chen Tessler, 2019, 1910.02789.

Semantic locality and context-based prefetching using reinforcement learning

Uri C. Weiser, Shie Mannor, Leeor Peled, 2015, 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA).

Loop-Aware Memory Prefetching Using Code Block Working Sets

Uri C. Weiser, Shie Mannor, Yoav Etsion, 2014, 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture.

Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning

Shie Mannor, Balázs Szörényi, Gugan Thoppe, 2017, COLT.

Off-Policy Evaluation in Partially Observable Environments

Shie Mannor, Uri Shalit, Guy Tennenholtz, 2019, AAAI.

Consistent On-Line Off-Policy Evaluation

Shie Mannor, Assaf Hallak, Assaf Hallak, 2017, ICML.

Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning

Shie Mannor, Bruno Scherrer, Yonathan Efroni, 2018, NeurIPS.

Online Limited Memory Neural-Linear Bandits with Likelihood Matching

Shie Mannor, Tom Zahavy, Ofir Nabati, 2021, ICML.

Learning Robust Options pdf

Shie Mannor, Doina Precup, Timothy A. Mann, 2018, AAAI.

On the Volatility of Optimal Control Policies and the Capacity of a Class of Linear Quadratic Regulators

Shie Mannor, A. Kizilkale, Avinash Mohan, 2020 .

Duality of ancillary services and intermittent suppliers

Shie Mannor, Arman C. Kizilkale, Shie Mannor, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Regulation and double price mechanisms in markets with friction

Shie Mannor, Arman C. Kizilkale, Shie Mannor, 2011, IEEE Conference on Decision and Control and European Control Conference.

Regulation, Volatility and Efficiency in Continuous-Time Markets pdf

Shie Mannor, Arman C. Kizilkale, Shie Mannor, 2011, ArXiv.

Efficient Bidding in Dynamic Grid Markets

Shie Mannor, Amir Danak, Shie Mannor, 2011, IEEE Transactions on Parallel and Distributed Systems.

A Robust Learning Approach to Repeated Auctions With Monitoring and Entry Fees

Shie Mannor, Amir Danak, Shie Mannor, 2011, IEEE Transactions on Computational Intelligence and AI in Games.

Dithered Belief Propagation Decoding

Shie Mannor, François Leduc-Primeau, Warren J. Gross, 2012, IEEE Transactions on Communications.

Lowering Error Floors Using Dithered Belief Propagation

Shie Mannor, François Leduc-Primeau, Warren J. Gross, 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

Distributed scenario-based optimization for asset management in a hierarchical decision making environment

Shie Mannor, Elad Gilboa, Gal Dalal, 2016, 2016 Power Systems Computation Conference (PSCC).

Opportunistic Approachability : Calibration-based Algorithms , with Application to Constrained No-Regret

Shie Mannor, N. Shimkin, A. Bernstein, 2012 .

Markov Decision Processes with Arbitrary Reward Processes

Shie Mannor, Jia Yuan Yu, Nahum Shimkin, 2008, Math. Oper. Res..

Strategies for Prediction Under Imperfect Monitoring pdf

Shie Mannor, Gábor Lugosi, Gilles Stoltz, 2007, Math. Oper. Res..

A state action frequency approach to throughput maximization over uncertain wireless channels

Eytan Modiano, Shie Mannor, Ishai Menache, 2011, 2011 Proceedings IEEE INFOCOM.

Non-Cooperative Design of Translucent Networks

Shie Mannor, François Gagnon, David V. Plant, 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

Concept Drift Detection Through Resampling

Shie Mannor, K. Crammer, Ran El-Yaniv, 2014, ICML.

The Perturbed Variation

Maayan Harel, Shie Mannor, Shie Mannor, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Distributional Robustness and Regularization in Reinforcement Learning

Shie Mannor, E. Derman, 2020, ArXiv.

Resource Allocation with Supply Adjustment in Distributed Computing Systems

Shie Mannor, Amir Danak, Shie Mannor, 2010, 2010 IEEE 30th International Conference on Distributed Computing Systems.

A Bayesian Approach to Robust Reinforcement Learning

Shie Mannor, Timothy A. Mann, Esther Derman, 2019, UAI.

Adaptive Skills Adaptive Partitions (ASAP)

Shie Mannor, Timothy A. Mann, Daniel J. Mankowitz, 2016, NIPS.

Local detection of infections in heterogeneous networks

Shie Mannor, Sanjay Shakkottai, Constantine Caramanis, 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

On identifying the causative network of an epidemic

Shie Mannor, Sanjay Shakkottai, Constantine Caramanis, 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Detecting Cascades from Weak Signatures

Shie Mannor, Eli A. Meirom, Ariel Orda, 2018, IEEE Transactions on Network Science and Engineering.

Does an Efficient Calibrated Forecasting Strategy Exist?

Shie Mannor, Jacob D. Abernethy, Shie Mannor, 2011, COLT.

A Geometric Proof of Calibration

Shie Mannor, Gilles Stoltz, Shie Mannor, 2009, Math. Oper. Res..

Regret minimization in repeated matrix games with variable stage duration

Shie Mannor, Nahum Shimkin, Shie Mannor, 2008, Games Econ. Behav..

Online Learning with Variable Stage Duration

Shie Mannor, Nahum Shimkin, Shie Mannor, 2006, COLT.

Stochastic Chase Decoding of Reed-Solomon Codes

Shie Mannor, Warren J. Gross, Camille Leroux, 2010, IEEE Communications Letters.

Majority-Based Tracking Forecast Memories for Stochastic LDPC Decoding

Shie Mannor, Warren J. Gross, Saied Hemati, 2010, IEEE Transactions on Signal Processing.

Fully Parallel Stochastic LDPC Decoders

Shie Mannor, Warren J. Gross, Saeed Sharifi Tehrani, 2008, IEEE Transactions on Signal Processing.

Adaptive Lambda Least-Squares Temporal Difference Learning pdf

Shie Mannor, Timothy A. Mann, Todd Hester, 2016, 1612.09465.

Implicit Temporal Differences pdf

Edoardo M. Airoldi, Shie Mannor, Aviv Tamar, 2014, ArXiv.

Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks

Shie Mannor, Itay Naeh, Roi Pony, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unit Commitment Using Nearest Neighbor as a Short-Term Proxy

Shie Mannor, Louis Wehenkel, Elad Gilboa, 2016, 2018 Power Systems Computation Conference (PSCC).

A Min-Sum Iterative Decoder Based on Pulsewidth Message Encoding

Shie Mannor, Warren J. Gross, Camille Leroux, 2010, IEEE Transactions on Circuits and Systems II: Express Briefs.

Policy Gradient for Reinforcement Learning with General Utilities

Shie Mannor, K. Levy, Navdeep Kumar, 2022, ArXiv.

Network formation games with heterogeneous players and the internet structure

Shie Mannor, Eli A. Meirom, Ariel Orda, 2013, EC.

Bending the Curve: Improving the ROC Curve Through Error Redistribution pdf

Shie Mannor, Oran Richman, Shie Mannor, 2016, ArXiv.

Thompson Sampling for Complex Online Problems

Shie Mannor, Aditya Gopalan, Yishay Mansour, 2013, ICML.

Policy Gradient for Coherent Risk Measures

Shie Mannor, Mohammad Ghavamzadeh, Aviv Tamar, 2015, NIPS.

Network Formation: Bilateral Contracting and Myopic Dynamics

Shie Mannor, Esteban Arcaute, Ramesh Johari, 2007, IEEE Transactions on Automatic Control.

Learning to Initiate and Reason in Event-Driven Cascading Processes

Shie Mannor, E. Meirom, Y. Atzmon, 2023 .

Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning pdf

Shie Mannor, Guy Tennenholtz, Roy Zohar, 2021, AAAI.

Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching pdf

Shie Mannor, Tom Zahavy, Shie Mannor, 2019, ArXiv.

Shallow Updates for Deep Reinforcement Learning

Shie Mannor, Nir Levine, Aviv Tamar, 2017, NIPS.

Explainability-based Trust Algorithm for electricity price forecasting models

Shie Mannor, K. Levy, Y. Levron, 2023, Energy and AI.

Online Apprenticeship Learning pdf

Shie Mannor, Lior Shani, Tom Zahavy, 2021, AAAI.

Reinforcement Learning with Trajectory Feedback

Shie Mannor, Yonathan Efroni, Nadav Merlis, 2020, AAAI.

Reinforcement Learning in Reward-Mixing MDPs

Shie Mannor, C. Caramanis, Yonathan Efroni, 2021, NeurIPS.

Decoupling Exploration and Exploitation in Multi-Armed Bandits pdf

Shie Mannor, Ohad Shamir, Orly Avner, 2012, ICML.

Bandits with an Edge pdf

Shie Mannor, Claudio Gentile, Dotan Di Castro, 2011, ArXiv.

Optimistic Policy Optimization with Bandit Feedback pdf

Shie Mannor, Lior Shani, Yonathan Efroni, 2020, ICML.

Regularized Fitted Q-iteration: Application to Planning

Shie Mannor, Csaba Szepesvári, Mohammad Ghavamzadeh, 2008, EWRL.

Bandits with partially observable confounded data

Shie Mannor, Uri Shalit, Guy Tennenholtz, 2020, UAI.

Learning the Variance of the Reward-To-Go

Shie Mannor, Dotan Di Castro, Aviv Tamar, 2016, J. Mach. Learn. Res..

Arbitrarily modulated Markov decision processes

Shie Mannor, Jia Yuan Yu, Shie Mannor, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Acting in Delayed Environments with Non-Stationary Markov Policies pdf

Shie Mannor, Gal Dalal, Esther Derman, 2021, ICLR.

Soft-Robust Actor-Critic Policy-Gradient

Timothy A. Mann, Shie Mannor, D. Mankowitz, 2018, UAI 2018.

Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning pdf

Shie Mannor, Bruno Scherrer, Yonathan Efroni, 2018, NIPS 2018.

Beyond the One Step Greedy Approach in Reinforcement Learning

Shie Mannor, Bruno Scherrer, Yonathan Efroni, 2018, ICML.

Formation games of reliable networks

Shie Mannor, Eli A. Meirom, Ariel Orda, 2014, 2015 IEEE Conference on Computer Communications (INFOCOM).

Individualized Dosing Dynamics via Neural Eigen Decomposition

Shie Mannor, Ido Greenberg, D. Eytan, 2023, ArXiv.

Reinforcement learning in the presence of rare events

Doina Precup, Shie Mannor, J. Frank, 2008, ICML '08.

On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning pdf

Shie Mannor, Gal Chechik, Uri Shalit, 2021, ICLR.

Can We Learn to Gamble Efficiently?

Dominik D. Freydenberger, R. Munos, Shie Mannor, 2010, COLT.

Deep Learning Reconstruction of Ultrashort Pulses

Shie Mannor, Tom Zahavy, M. Segev, 2018, Conference on Lasers and Electro-Optics.

Outlier Robust Online Learning pdf

Shie Mannor, Jiashi Feng, Huan Xu, 2017, ArXiv.

How to Combine Tree-Search Methods in Reinforcement Learning

Shie Mannor, Bruno Scherrer, Yonathan Efroni, 2018, AAAI.

Learning in the Limit with Adversarial Disturbances

Shie Mannor, Constantine Caramanis, Shie Mannor, 2008, COLT.

A Nonparametric Sequential Test for Online Randomized Experiments

Shie Mannor, Vineet Abhishek, Shie Mannor, 2016, WWW.

Bundle Selling by Online Estimation of Valuation Functions

Shie Mannor, Daniel Vainsencher, Ofer Dekel, 2011, ICML.

Statistical Optimization in High Dimensions

Shie Mannor, Constantine Caramanis, Huan Xu, 2012, Oper. Res..

Sub-sampling for Multi-armed Bandits

Shie Mannor, Odalric-Ambrym Maillard, Akram Baransi, 2014, ECML/PKDD.

A General Approach to Multi-Armed Bandits Under Risk Criteria pdf

Shie Mannor, Asaf Cassel, Assaf J. Zeevi, 2018, COLT.

Set-valued approachability and online learning with partial monitoring

Shie Mannor, Vianney Perchet, Gilles Stoltz, 2014, J. Mach. Learn. Res..

Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization

Shie Mannor, E. Derman, M. Geist, 2023, ArXiv.

Deep Robust Kalman Filter pdf

Shie Mannor, Shirli Di-Castro Shashua, Shie Mannor, 2017, ArXiv.

High-Throughput Energy-Efficient LDPC Decoders Using Differential Binary Message Passing

Shie Mannor, Warren J. Gross, Camille Leroux, 2014, IEEE Transactions on Signal Processing.

Relaxed Half-Stochastic Belief Propagation

Shie Mannor, François Leduc-Primeau, Warren J. Gross, 2012, IEEE Transactions on Communications.

Delayed Stochastic Decoding of LDPC Codes

Mohamad Sawan, Shie Mannor, Warren J. Gross, 2011, IEEE Transactions on Signal Processing.

A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes

Shie Mannor, François Leduc-Primeau, Warren J. Gross, 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

Survey of Stochastic Computation on Factor Graphs

Shie Mannor, Warren J. Gross, Saeed Sharifi Tehrani, 2007, 37th International Symposium on Multiple-Valued Logic (ISMVL'07).

Stochastic decoding of low-density parity-check codes

Shie Mannor, Warren J. Gross, Saeed Sharifi Tehrani, 2011 .

CALM: Conditional Adversarial Latent Models for Directable Virtual Characters

Shie Mannor, X. B. Peng, Chen Tessler, 2023, SIGGRAPH.

Action Redundancy in Reinforcement Learning

Shie Mannor, Guy Tennenholtz, Nir Baram, 2021, UAI.

Approximate Value Iteration with Temporally Extended Actions (Extended Abstract)

Shie Mannor, Doina Precup, Timothy A. Mann, 2017, IJCAI.

Spatio-Temporal Abstractions in Reinforcement Learning Through Neural Encoding

Shie Mannor, Nir Baram, Tom Zahavy, 2016 .

Situational Awareness by Risk-Conscious Skills pdf

Shie Mannor, Aviv Tamar, Daniel J. Mankowitz, 2016, ArXiv.

Visualizing Dynamics: from t-SNE to SEMI-MDPs pdf

Shie Mannor, Tom Zahavy, Nir Ben-Zrihem, 2016, ArXiv.

Deep Reinforcement Learning Discovers Internal Models pdf

Shie Mannor, Tom Zahavy, Nir Baram, 2016, ArXiv.

Iterative Hierarchical Optimization for Misspecified Problems (IHOMP) pdf

Shie Mannor, Timothy A. Mann, Daniel J. Mankowitz, 2016, ArXiv.

Bootstrapping Skills pdf

Shie Mannor, Timothy A. Mann, Daniel J. Mankowitz, 2015, ArXiv.

Time-regularized interrupting options

Shie Mannor, Timothy A. Mann, Daniel J. Mankowitz, 2014, ICML 2014.

Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations

Shie Mannor, Timothy A. Mann, Shie Mannor, 2014, ICML.

Learning When to Switch between Skills in a High Dimensional Domain

Shie Mannor, Timothy A. Mann, Daniel J. Mankowitz, 2015, AAAI Workshop: Learning for General Competency in Video Games.

Theoretical Analysis of Planning with Options

Timothy A. Mann, Shie Mannor, 2013 .

Sim and Real: Better Together pdf

Shie Mannor, Shirli Di-Castro Shashua, Shirli Di Castro Shashua, 2021, NeurIPS.

Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization

Shie Mannor, E. Derman, K. Levy, 2023, AAAI.

The Robustness-Performance Tradeoff in Markov Decision Processes

Shie Mannor, Huan Xu, Shie Mannor, 2006, NIPS.

How hard is my MDP?" The distribution-norm to the rescue"

Shie Mannor, Timothy A. Mann, Odalric-Ambrym Maillard, 2014, NIPS.

Kalman meets Bellman: Improving Policy Evaluation through Value Tracking pdf

Shie Mannor, Shirli Di-Castro Shashua, Shie Mannor, 2020, ArXiv.

Trust Region Value Optimization using Kalman Filtering pdf

Shie Mannor, Shirli Di-Castro Shashua, Shie Mannor, 2019, ArXiv.

Scaling Up Robust MDPs using Function Approximation

Shie Mannor, Huan Xu, Aviv Tamar, 2014, ICML.

Policy Gradient for s-Rectangular Robust Markov Decision Processes

Shie Mannor, E. Derman, M. Geist, 2023, arXiv.org.

Twice regularized MDPs and the equivalence between robustness and regularization pdf

Shie Mannor, Matthieu Geist, Esther Derman, 2021, NeurIPS.

Multi-user lax communications: A multi-armed bandit approach

Shie Mannor, Orly Avner, Shie Mannor, 2015, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

Online learning in Markov decision processes with arbitrarily changing rewards and transitions

Shie Mannor, Jia Yuan Yu, Shie Mannor, 2009, 2009 International Conference on Game Theory for Networks.

Bayesian Reinforcement Learning

Shie Mannor, M. Ghavamzadeh, N. Vlassis, 2010, Encyclopedia of Machine Learning.

Robust Reinforcement Learning via Adversarial Kernel Approximation

Shie Mannor, K. Levy, Navdeep Kumar, 2023, ArXiv.

Nonlinear Distributional Gradient Temporal-Difference Learning

Shie Mannor, Huan Xu, Chao Qu, 2018, ICML.

SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search

Assaf Hallak, Shie Mannor, Gal Dalal, 2023, ArXiv.

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction

Assaf Hallak, Shie Mannor, Gal Dalal, 2021, NeurIPS.

SoftTreeMax: Policy Gradient with Tree Search

Assaf Hallak, Shie Mannor, Gal Dalal, 2022, ArXiv.

Learning to reason about and to act on physical cascading events

Shie Mannor, Gal Chechik, E. Meirom, 2022, ArXiv.

On information propagation in mobile call networks

Shie Mannor, Elad Yom-Tov, Kirill Dyagilev, 2013, Social Network Analysis and Mining.

Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization

Shie Mannor, Daniel Vainsencher, Huan Xu, 2017, COLT.

Lenient Regret for Multi-Armed Bandits

Shie Mannor, Nadav Merlis, 2020, AAAI.

Dimension Free Generalization Bounds for Non Linear Metric Learning pdf

Shie Mannor, Mark Kozdoba, Shie Mannor, 2021, ArXiv.

Commentary on \Towards a Noncommutative Arithmetic-Geometric Mean Inequality" by B. Recht and C. R e

John C. Duchi, R. C. Williamson, Shie Mannor, 2012 .

Acting in Delayed Environments with Non-Stationary Markov Policies

Shie Mannor, E. Derman, Gal Dalal, 2021, International Conference on Learning Representations.

Exploration Conscious Reinforcement Learning Revisited

Shie Mannor, Lior Shani, Yonathan Efroni, 2018, ICML.

Revisiting Exploration-Conscious Reinforcement Learning pdf

Shie Mannor, Lior Shani, Yonathan Efroni, 2018, ArXiv.

Inverse Reinforcement Learning in Contextual MDPs pdf

Shie Mannor, Tom Zahavy, Chen Tessler, 2019, ArXiv.

Unimodal Bandits

Shie Mannor, Jia Yuan Yu, Shie Mannor, 2011, ICML.

Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem

Shie Mannor, Nadav Merlis, Shie Mannor, 2019, COLT.

Relaxation Dynamics in Stochastic Iterative Decoders

Shie Mannor, Vincent C. Gaudet, Warren J. Gross, 2010, IEEE Transactions on Signal Processing.

Dynamics and stability in network formation games with bilateral contracts

Shie Mannor, Eric Dallal, Esteban Arcaute, 2007, 2007 46th IEEE Conference on Decision and Control.

Clustered Bandits pdf

Shie Mannor, Loc Bui, Ramesh Johari, 2012, ArXiv.

Committing Bandits

Shie Mannor, Loc Bui, Ramesh Johari, 2011, NIPS.

An adaptive stochastic optimization algorithm for resource allocation

Shie Mannor, Vianney Perchet, Xavier Fontaine, 2019, ALT.

Thompson Sampling for Complex Bandit Problems pdf

Shie Mannor, Aditya Gopalan, Yishay Mansour, 2013, ArXiv.

A General Framework for Bandit Problems Beyond Cumulative Objectives

Technion, Assaf Zeevi School of Computer Science, Faculty of Electrical Engineering, 2018, Mathematics of Operations Research.

A Kalman Filter Design Based on the Performance/Robustness Tradeoff

Shie Mannor, Huan Xu, Shie Mannor, 2008, IEEE Transactions on Automatic Control.

An Inequality for Nearly Log-Concave Distributions With Applications to Learning

Shie Mannor, Constantine Caramanis, Shie Mannor, 2004, IEEE Transactions on Information Theory.

Reinforcement learning with kernels and Gaussian processes

Shie Mannor, 2005 .

Interdependent Gibbs Samplers pdf

Shie Mannor, Mark Kozdoba, Shie Mannor, 2018, ArXiv.

Online Convex Optimization Against Adversaries with Memory and Application to Statistical Arbitrage

Shie Mannor, Elad Hazan, Oren Anava, 2013, 1302.6937.

Online Learning for Loss Functions with Memory and Applications to Statistical Arbitrage pdf

Shie Mannor, Elad Hazan, Oren Anava, 2013, ArXiv.

Robustness and generalization

Shie Mannor, Huan Xu, 2010, Machine Learning.

Chance-Constrained Outage Scheduling Using a Machine Learning Proxy

Shie Mannor, Louis Wehenkel, Elad Gilboa, 2018, IEEE Transactions on Power Systems.

Bandits with Partially Observable Offline Data pdf

Shie Mannor, Uri Shalit, Guy Tennenholtz, 2020, ArXiv.

Opportunistic Approachability and Generalized No-Regret Problems

Shie Mannor, Andrey Bernstein, Nahum Shimkin, 2014, Math. Oper. Res..

Approachability in unknown games: Online learning meets multi-objective optimization

Shie Mannor, Vianney Perchet, Gilles Stoltz, 2014, COLT.

Opportunistic Strategies for Generalized No-Regret Problems

Shie Mannor, Andrey Bernstein, Nahum Shimkin, 2013, COLT.

Online Classification with Specificity Constraints

Shie Mannor, Andrey Bernstein, Nahum Shimkin, 2010, NIPS.

A Geometric Proof of Calibration

Shie Mannor, Gilles Stoltz, 2009, Math. Oper. Res..

Local Two-Stage Myopic Dynamics for Network Formation Games

Shie Mannor, Esteban Arcaute, Ramesh Johari, 2008, WINE.

Online Learning with Expert Advice and Finite-Horizon Constraints

Shie Mannor, Jia Yuan Yu, Branislav Kveton, 2008, AAAI.

Network Formation: Bilateral Contracting and Myopic Dynamics

Shie Mannor, E. Arcaute, Ramesh Johari, 2007, IEEE Transactions on Automatic Control.

Reinforcement Learning-Based Load Shared Sequential Routing

Shie Mannor, Lorne Mason, Fariba Heidari, 2007, Networking.

Reward-Mixing MDPs with Few Latent Contexts are Learnable

Shie Mannor, C. Caramanis, Yonathan Efroni, 2023, ICML.

Robust approachability and regret minimization in games with partial monitoring

Shie Mannor, Gilles Stoltz, Vianney Perchet, 2017 .

Learning with Global Cost in Stochastic Environments

Y. Mansour, Shie Mannor, Eyal Even-Dar, 2010, COLT 2010.

A Lazy Approach to Online Learning with Constraints

Shie Mannor, Jia Yuan Yu, Branislav Kveton, 2008, ISAIM.

On-Line Learning with Imperfect Monitoring

Shie Mannor, Nahum Shimkin, Shie Mannor, 2003, COLT.

Bayesian Reinforcement Learning

Pascal Poupart, Shie Mannor, M. Ghavamzadeh, 2010, Encyclopedia of Machine Learning.

Model-based Adversarial Imitation Learning pdf

Shie Mannor, Nir Baram, Oron Anschel, 2016, ArXiv.

Patternless Adversarial Attacks on Video Recognition Networks pdf

Shie Mannor, Itay Naeh, Roi Pony, 2020, ArXiv.

Natural Language State Representation for Reinforcement Learning pdf

Shie Mannor, Guy Tennenholtz, Erez Schwartz, 2019, ArXiv.

Finite Sample Analysis for TD(0) with Linear Function Approximation pdf

Shie Mannor, Balázs Szörényi, Gugan Thoppe, 2017, ArXiv.

Improper Reinforcement Learning with Gradient-based Policy Optimization

Shie Mannor, Aditya Gopalan, Mohammadi Zaki, 2021, 2102.08201.

Price Volatility in Electricity Markets: A Stochastic Control Perspective pdf

Shie Mannor, Avinash Mohan, Arman Kizilkale, 2020, ArXiv.

Adaptive bases for Q-learning

Shie Mannor, Dotan Di Castro, Shie Mannor, 2010, 49th IEEE Conference on Decision and Control (CDC).

Robustness and Regularization of Support Vector Machines

Shie Mannor, C. Caramanis, Huan Xu, 2008, J. Mach. Learn. Res..

Representation-Driven Reinforcement Learning

Shie Mannor, Ofir Nabati, Guy Tennenholtz, 2023, ICML.

Towards Deployable RL - What's Broken with RL Research and a Potential Fix

Aviv Tamar, Shie Mannor, 2023, ArXiv.

Policy Gradient for Reinforcement Learning with General Utilities

Shie Mannor, K. Levy, Navdeep Kumar, 2022, ArXiv.

Maximum Entropy Reinforcement Learning with Mixture Policies pdf

Shie Mannor, Guy Tennenholtz, Nir Baram, 2021, ArXiv.

Confidence-Budget Matching for Sequential Budgeted Learning

Shie Mannor, Aadirupa Saha, Yonathan Efroni, 2021, ICML.

Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits pdf

Shie Mannor, Yonathan Efroni, Nadav Merlis, 2021, ArXiv.

Thompson Sampling for Learning Parameterized MDPs

Shie Mannor, Aditya Gopalan, 2014, ArXiv.

Multi-User Communication Networks: A Coordinated Multi-Armed Bandit Approach

Shie Mannor, Orly Avner, Shie Mannor, 2018, IEEE/ACM Transactions on Networking.

Sparse Online Greedy Support Vector Regression

Shie Mannor, Ron Meir, Yaakov Engel, 2002, ECML.

Policy Gradients Beyond Expectations: Conditional Value-at-Risk pdf

Shie Mannor, Aviv Tamar, Yonatan Glassner, 2014, ArXiv.

PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient

Shie Mannor, Jiashi Feng, Daquan Zhou, 2023, ICML.

Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem

Shie Mannor, C. Caramanis, Huan Xu, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Regret Minimization in Signal Space for Repeated Matrix Games with Partial Observations

Shie Mannor, N. Shimkin, 2000 .

Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks

Shie Mannor, Gal Chechik, E. Meirom, 2020, ICML.

Policy Gradient for Rectangular Robust Markov Decision Processes

Shie Mannor, E. Derman, M. Geist, 2023, NeurIPS.

Efficient Policy Iteration for Robust Markov Decision Processes via Regularization

Shie Mannor, K. Levy, Navdeep Kumar, 2022, ArXiv.

Bayesian Reinforcement Learning: A Survey

Aviv Tamar, Shie Mannor, M. Ghavamzadeh, 2015, Found. Trends Mach. Learn..

Online PCA for Contaminated Data

Shie Mannor, Shuicheng Yan, Jiashi Feng, 2013, NIPS.

Latent Bandits

Shie Mannor, Odalric-Ambrym Maillard, Shie Mannor, 2014, ICML.

Efficient reinforcement learning in parameterized models: discrete parameters

Shie Mannor, Nahum Shimkin, Kirill Dyagilev, 2008, VALUETOOLS.

Supervised learning for optimal power flow as a real-time proxy

Shie Mannor, Gal Dalal, Raphaël Canyasse, 2016, 2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

Reinforcement Learning with a Terminator

Assaf Hallak, Shie Mannor, Gal Dalal, 2022, NeurIPS.