Maxim Raginsky

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All published works

Action	Title	Year	Authors
+ PDF Chat	Talagrand Meets Talagrand: Upper and Lower Bounds on Expected Soft Maxima of Gaussian Processes with Finite Index Sets	2025	Yifeng Chu Maxim Raginsky
+	Variations on a Theme by Aristotle (with a Little Help from Euler, Lagrange, Hamilton, and Pontryagin)	2024	Maxim Raginsky
+ PDF Chat	A variational approach to sampling in diffusion processes	2024	Maxim Raginsky
+ PDF Chat	Some Remarks on Controllability of the Liouville Equation	2024	Maxim Raginsky
+ PDF Chat	Revisiting Stochastic Realization Theory using Functional It\^o Calculus	2024	Tanya Veeravalli Maxim Raginsky
+ PDF Chat	Rademacher Complexity of Neural ODEs via Chen-Fliess Series	2024	Joshua Hanson Maxim Raginsky
+	Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion	2024	Dylan Zhang Curt Tigges Zory Zhang Stella Biderman Maxim Raginsky Talia Ringer
+	Revisiting Stochastic Realization Theory using Functional Itô Calculus	2024	Tanya Veeravalli Maxim Raginsky
+ PDF Chat	A Constructive Approach to Function Realization by Neural Stochastic Differential Equations	2023	Tanya Veeravalli Maxim Raginsky
+ PDF Chat	Majorizing Measures, Codes, and Information	2023	Yifeng Chu Maxim Raginsky
+	Variational Principles for Mirror Descent and Mirror Langevin Dynamics	2023	Belinda Tzen Anant Raj Maxim Raginsky Francis Bach
+	A Chain Rule for the Expected Suprema of Bernoulli Processes	2023	Yifeng Chu Maxim Raginsky
+	Majorizing Measures, Codes, and Information	2023	Yifeng Chu Maxim Raginsky
+	Variational Principles for Mirror Descent and Mirror Langevin Dynamics	2023	Belinda Tzen Anant Raj Maxim Raginsky Francis Bach
+	A unified framework for information-theoretic generalization bounds	2023	Yifeng Chu Maxim Raginsky
+	Can Transformers Learn to Solve Problems Recursively?	2023	Shizhuo Dylan Zhang Curt Tigges Stella Biderman Maxim Raginsky Talia Ringer
+	A Constructive Approach to Function Realization by Neural Stochastic Differential Equations	2023	Tanya Veeravalli Maxim Raginsky
+	Generalization Bounds: Perspectives from Information Theory and PAC-Bayes	2023	Fredrik Hellström Giuseppe Durisi Benjamin Guedj Maxim Raginsky
+ PDF Chat	Fitting an immersed submanifold to data via Sussmann’s orbit theorem	2022	Joshua Hanson Maxim Raginsky
+ PDF Chat	Neural Ordinary Differential Equation Models of Circuits: Capabilities and Pitfalls	2022	Jie Xiong Alan Yang Maxim Raginsky Elyse Rosenbaum
+ PDF Chat	Partially Observed Discrete-Time Risk-Sensitive Mean Field Games	2022	Naci Saldı Tamer Başar Maxim Raginsky
+ PDF Chat	Minimum Excess Risk in Bayesian Learning	2022	Aolin Xu Maxim Raginsky
+ PDF Chat	Robustness to incorrect models and data-driven learning in average-cost optimal stochastic control	2022	Ali̇ Devran Kara Maxim Raginsky Serdar Yüksel
+	Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits	2022	Alan Yang Jie Xiong Maxim Raginsky Elyse Rosenbaum
+	Fitting an immersed submanifold to data via Sussmann's orbit theorem	2022	Joshua Hanson Maxim Raginsky
+	Nonlinear controllability and function representation by neural stochastic differential equations	2022	Tanya Veeravalli Maxim Raginsky
+	Information-theoretic generalization bounds for black-box learning algorithms	2021	Hrayr Harutyunyan Maxim Raginsky Greg Ver Steeg Aram Galstyan
+ PDF Chat	EE-Grad: Exploration and Exploitation for Cost-Efficient Mini-Batch SGD	2021	Mehmet A. Donmez Jeff Ludwig Maxim Raginsky Andrew C. Singer
+	Information-theoretic generalization bounds for black-box learning algorithms	2021	Hrayr Harutyunyan Maxim Raginsky Greg Ver Steeg Aram Galstyan
+	Learning Recurrent Neural Net Models of Nonlinear Systems	2020	Joshua Hanson Maxim Raginsky Eduardo D. Sontag
+	Channel Polarization Through the Lens of Blackwell Measures	2020	Naveen Goela Maxim Raginsky
+	A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics.	2020	Belinda Tzen Maxim Raginsky
+	Learning Recurrent Neural Net Models of Nonlinear Systems	2020	Joshua A. Hanson Maxim Raginsky Eduardo D. Sontag
+	Partially Observed Discrete-Time Risk-Sensitive Mean Field Games	2020	Naci Saldı Tamer Başar Maxim Raginsky
+	Robustness to Incorrect Models and Data-Driven Learning in Average-Cost Optimal Stochastic Control	2020	Ali Kara Maxim Raginsky Serdar Yüksel
+	A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics	2020	Belinda Tzen Maxim Raginsky
+	Minimum Excess Risk in Bayesian Learning	2020	Aolin Xu Maxim Raginsky
+ PDF Chat	Partially-Observed Discrete-Time Risk-Sensitive Mean-Field Games	2019	Naci Saldı Tamer Başar Maxim Raginsky
+	Model-Augmented Nearest-Neighbor Estimation of Conditional Mutual Information for Feature Selection.	2019	Alan Yang AmirEmad Ghassami Maxim Raginsky Negar Kiyavash Elyse Rosenbaum
+	Universal Approximation of Input-Output Maps by Temporal Convolutional Nets	2019	Joshua Hanson Maxim Raginsky
+ PDF Chat	Approximate Nash Equilibria in Partially Observed Stochastic Games with Mean-Field Interactions	2019	Naci Saldı Tamer Başar Maxim Raginsky
+	Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit	2019	Belinda Tzen Maxim Raginsky
+	Non-signaling Approximations of Stochastic Team Problems	2019	Naci Saldı Can Deha Karıksız Maxim Raginsky Eric Chitambar
+	Theoretical guarantees for sampling and inference in generative models with latent diffusions.	2019	Belinda Tzen Maxim Raginsky
+	Universal Approximation of Input-Output Maps by Temporal Convolutional Nets	2019	Joshua Hanson Maxim Raginsky
+ PDF Chat	Learning Finite-Dimensional Coding Schemes with Nonlinear Reconstruction Maps	2019	Jaeho Lee Maxim Raginsky
+	Model-Augmented Estimation of Conditional Mutual Information for Feature Selection	2019	Alan Yang AmirEmad Ghassami Maxim Raginsky Negar Kiyavash Elyse Rosenbaum
+	Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit	2019	Belinda Tzen Maxim Raginsky
+	Non-signaling Approximations of Stochastic Team Problems	2019	Naci Saldı Can Deha Karıksız Maxim Raginsky Eric Chitambar
+	Theoretical guarantees for sampling and inference in generative models with latent diffusions	2019	Belinda Tzen Maxim Raginsky
+	Learning finite-dimensional coding schemes with nonlinear reconstruction maps	2018	Jaeho Lee Maxim Raginsky
+	Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability	2018	Belinda Tzen Tengyuan Liang Maxim Raginsky
+	Sequential Empirical Coordination Under an Output Entropy Constraint	2018	Ehsan Shafieepoorfard Maxim Raginsky
+	Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability	2018	Belinda Tzen Tengyuan Liang Maxim Raginsky
+	Discrete-time Risk-sensitive Mean-field Games	2018	Naci Saldı Tamer Başar Maxim Raginsky
+ PDF Chat	Markov--Nash Equilibria in Mean-Field Games with Discounted Cost	2018	Naci Saldı Tamer Başar Maxim Raginsky
+	Learning finite-dimensional coding schemes with nonlinear reconstruction maps	2018	Jae-Ho Lee Maxim Raginsky
+	Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability	2018	Belinda Tzen Tengyuan Liang Maxim Raginsky
+	Sequential Empirical Coordination Under an Output Entropy Constraint	2017	Ehsan Shafieepoorfard Maxim Raginsky
+	Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis	2017	Maxim Raginsky Alexander Rakhlin Matus Telgarsky
+	Minimax Statistical Learning and Domain Adaptation with Wasserstein Distances.	2017	Jaeho Lee Maxim Raginsky
+	Minimax Statistical Learning with Wasserstein Distances.	2017	Jaeho Lee Maxim Raginsky
+	Approximate Nash Equilibria in Partially Observed Stochastic Games with Mean-Field Interactions	2017	Naci Saldı Tamer Başar Maxim Raginsky
+ PDF Chat	Markov-Nash equilibria in mean-field games with discounted cost	2017	Naci Saldı Tamer Başar Maxim Raginsky
+	Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis	2017	Maxim Raginsky Alexander Rakhlin Matus Telgarsky
+	Information-Theoretic Lower Bounds for Distributed Function Computation	2017	Aolin Xu Maxim Raginsky
+ PDF Chat	Concentration of Measure Without Independence: A Unified Approach Via the Martingale Method	2017	Aryeh Kontorovich Maxim Raginsky
+	Information-theoretic analysis of generalization capability of learning algorithms	2017	Aolin Xu Maxim Raginsky
+	Cost-Performance Tradeoffs in Fusing Unreliable Computational Units	2017	Mehmet A. Donmez Maxim Raginsky Andrew C. Singer Lav R. Varshney
+	Information-theoretic analysis of generalization capability of learning algorithms	2017	Aolin Xu Maxim Raginsky
+	Sequential Empirical Coordination Under an Output Entropy Constraint	2017	Ehsan Shafieepoorfard Maxim Raginsky
+	Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis	2017	Maxim Raginsky Alexander Rakhlin Matus Telgarsky
+	EE-Grad: Exploration and Exploitation for Cost-Efficient Mini-Batch SGD	2017	M A. Donmez Maxim Raginsky Andrew C. Singer
+	Minimax Statistical Learning with Wasserstein Distances	2017	Jaeho Lee Maxim Raginsky
+	Approximate Nash Equilibria in Partially Observed Stochastic Games with Mean-Field Interactions	2017	Naci Saldı Tamer Başar Maxim Raginsky
+	Information-Theoretic Lower Bounds on Bayes Risk in Decentralized Estimation	2016	Aolin Xu Maxim Raginsky
+	Markov-Nash Equilibria in Mean-Field Games with Discounted Cost	2016	Naci Saldı Tamer Başar Maxim Raginsky
+ PDF Chat	Sequential empirical coordination under an output entropy constraint	2016	Ehsan Shafieepoorfard Maxim Raginsky
+	Coordinate Dual Averaging for Decentralized Online Optimization With Nonseparable Global Objectives	2016	Soomin Lee Angelia Nedić Maxim Raginsky
+ PDF Chat	Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty	2016	Maxim Raginsky Angelia Nedić
+	Information-Theoretic Lower Bounds on Bayes Risk in Decentralized Estimation	2016	Aolin Xu Maxim Raginsky
+ PDF Chat	Rationally Inattentive Control of Markov Processes	2016	Ehsan Shafieepoorfard Maxim Raginsky Sean Meyn
+	Concentration of measure without independence: a unified approach via the martingale method	2016	Aryeh Kontorovich Maxim Raginsky
+	Markov-Nash Equilibria in Mean-Field Games with Discounted Cost	2016	Naci Saldı Tamer Başar Maxim Raginsky
+	Decentralized Online Optimization with Global Objectives and Local Communication	2015	Soomin Lee Angelia Nedić Maxim Raginsky
+ PDF Chat	On MMSE estimation from quantized observations in the nonasymptotic regime	2015	Jaeho Lee Maxim Raginsky Pierre Moulin
+ PDF Chat	Converses for distributed estimation via strong data processing inequalities	2015	Aolin Xu Maxim Raginsky
+	On MMSE estimation from quantized observations in the nonasymptotic regime	2015	Jaeho Lee Maxim Raginsky Pierre Moulin
+	RATIONALLY INATTENTIVE CONTROL OF MARKOV PROCESSES	2015	Ehsan Shafieepoorfard Maxim Raginsky Sean Meyn
+	Information-theoretic lower bounds for distributed function computation	2015	Aolin Xu Maxim Raginsky
+	Concentration of Measure Inequalities and Their Communication and Information-Theoretic Applications	2015	Maxim Raginsky Igal Sason
+ PDF Chat	Poisson's Equation in Nonlinear Filtering	2015	Richard S. Laugesen Prashant G. Mehta Sean Meyn Maxim Raginsky
+	Converses for distributed estimation via strong data processing inequalities	2015	Aolin Xu Maxim Raginsky
+	Rationally inattentive control of Markov processes	2015	Ehsan Shafieepoorfard Maxim Raginsky Sean Meyn
+	On MMSE estimation from quantized observations in the nonasymptotic regime	2015	Jaeho Lee Maxim Raginsky Pierre Moulin
+	Poisson's equation in nonlinear filtering	2014	Richard S. Laugesen Prashant G. Mehta Sean Meyn Maxim Raginsky
+ PDF Chat	Poisson's equation in nonlinear filtering	2014	Richard S. Laugesen Prashant G. Mehta Sean Meyn Maxim Raginsky
+	Strong data processing inequalities and $\Phi$-Sobolev inequalities for discrete channels	2014	Maxim Raginsky
+ PDF Chat	Online Markov Decision Processes With Kullback–Leibler Control Cost	2014	Peng Guan Maxim Raginsky Rebecca Willett
+	Online Markov decision processes with Kullback-Leibler control cost	2014	Peng Guan Maxim Raginsky Rebecca Willett
+	Poisson's equation in nonlinear filtering	2014	Richard S. Laugesen Prashant G. Mehta Sean Meyn Maxim Raginsky
+	Strong data processing inequalities and $Φ$-Sobolev inequalities for discrete channels	2014	Maxim Raginsky
+	Online discrete optimization in social networks in the presence of Knightian uncertainty	2013	Maxim Raginsky Angelia Nedić
+	Relax but stay in control: from value to algorithms for online Markov decision processes	2013	Peng Guan Maxim Raginsky Rebecca Willett
+	Concentration of Measure Inequalities in Information Theory, Communications, and Coding	2013	Maxim Raginsky Igal Sason
+ PDF Chat	A recursive procedure for density estimation on the binary hypercube	2013	Maxim Raginsky Jorge G. Silva Svetlana Lazebnik Rebecca Willett
+	Online discrete optimization in social networks in the presence of Knightian uncertainty	2013	Maxim Raginsky Angelia Nedić
+	Concentration of Measure Inequalities in Information Theory, Communications, and Coding	2013	Maxim Raginsky
+ PDF Chat	Empirical Processes, Typical Sequences, and Coordinated Actions in Standard Borel Spaces	2012	Maxim Raginsky
+ PDF Chat	Target detection performance bounds in compressive imaging	2012	Kalyani Krishnamurthy Rebecca Willett Maxim Raginsky
+ PDF Chat	Online Markov decision processes with Kullback-Leibler control cost	2012	Peng Guan Maxim Raginsky Rebecca Willett
+ PDF Chat	Sequential Anomaly Detection in the Presence of Noise and Limited Feedback	2012	Maxim Raginsky Rebecca Willett Corinne Horn Jorge Drumond Silva Roummel F. Marcia
+	Concentration of Measure Inequalities in Information Theory, Communications and Coding (Second Edition)	2012	Maxim Raginsky Igal Sason
+	A recursive procedure for density estimation on the binary hypercube	2011	Maxim Raginsky Jorge Silva Svetlana Lazebnik Rebecca Willett
+	Near-minimax recursive density estimation on the binary hypercube	2011	Maxim Raginsky Jorge Silva Svetlana Lazebnik Rebecca Willett
+	Directed information and Pearl's causal calculus	2011	Maxim Raginsky
+ PDF Chat	Directed information and pearl's causal calculus	2011	Maxim Raginsky
+ PDF Chat	Performance Bounds for Expander-Based Compressed Sensing in Poisson Noise	2011	Maxim Raginsky Sina Jafarpour Zachary T. Harmany Roummel F. Marcia Rebecca Willett Robert Calderbank
+ PDF Chat	Information-Based Complexity, Feedback and Dynamics in Convex Programming	2011	Maxim Raginsky Alexander Rakhlin
+	A recursive procedure for density estimation on the binary hypercube	2011	Maxim Raginsky Jorge Drumond Silva Svetlana Lazebnik Rebecca Willett
+	Directed information and Pearl's causal calculus	2011	Maxim Raginsky
+	Information-based complexity, feedback and dynamics in sequential convex programming	2010	Maxim Raginsky Alexander Rakhlin
+	Divergence-based characterization of fundamental limitations of adaptive dynamical systems	2010	Maxim Raginsky
+	Information-based complexity, feedback and dynamics in convex programming	2010	Maxim Raginsky Alexander Rakhlin
+ PDF Chat	Divergence-based characterization of fundamental limitations of adaptive dynamical systems	2010	Maxim Raginsky
+	Mutual information saddle points in channels of exponential family type	2010	Todd P. Coleman Maxim Raginsky
+ PDF Chat	Compressed Sensing Performance Bounds Under Poisson Noise	2010	Maxim Raginsky Rebecca Willett Zachary T. Harmany Roummel F. Marcia
+ PDF Chat	Fishing in Poisson streams: Focusing on the whales, ignoring the minnows	2010	Maxim Raginsky Sina Jafarpour Rebecca Willett Robert Calderbank
+	Fishing in Poisson streams: focusing on the whales, ignoring the minnows	2010	Maxim Raginsky Sina Jafarpour Rebecca Willett Robert Calderbank
+	Divergence-based characterization of fundamental limitations of adaptive dynamical systems	2010	Maxim Raginsky
+	Information-based complexity, feedback and dynamics in convex programming	2010	Maxim Raginsky Alexander Rakhlin
+ PDF Chat	Achievability results for statistical learning under communication constraints	2009	Maxim Raginsky
+ PDF Chat	Performance bounds on compressed sensing with Poisson noise	2009	Rebecca Willett Maxim Raginsky
+ PDF Chat	Joint Universal Lossy Coding and Identification of Stationary Mixing Sources With General Alphabets	2009	Maxim Raginsky
+	Minimax risk for Poisson compressed sensing	2009	Rebecca Willett Maxim Raginsky
+	Achievability results for statistical learning under communication constraints	2009	Maxim Raginsky
+	Performance Bounds for Expander-based Compressed Sensing in the presence of Poisson Noise	2009	Sina Jafarpour Rebecca Willett Maxim Raginsky Robert Calderbank
+	Performance bounds on compressed sensing with Poisson noise	2009	Rebecca Willett Maxim Raginsky
+	Near-minimax recursive density estimation on the binary hypercube	2008	Maxim Raginsky Svetlana Lazebnik Rebecca Willett Jorge Silva
+ PDF Chat	Joint Fixed-Rate Universal Lossy Coding and Identification of Continuous-AlphabetMemoryless Sources	2008	Maxim Raginsky
+ PDF Chat	Learning From Compressed Observations	2007	Maxim Raginsky
+ PDF Chat	Joint Universal Lossy Coding and Identification of Stationary Mixing Sources	2007	Maxim Raginsky
+	Joint universal lossy coding and identification of stationary mixing sources	2007	Maxim Raginsky
+ PDF Chat	Joint Universal Lossy Coding and Identification of I.I.D. Vector Sources	2006	Maxim Raginsky
+	Concentration of Measure Inequalities in Information Theory, Communications, and Coding	2006	Maxim Raginsky Igal Sason
+ PDF Chat	Operational distance and fidelity for quantum channels	2005	V. P. Belavkin Giacomo Mauro D’Ariano Maxim Raginsky
+	A complexity-regularized quantization approach to nonlinear dimensionality reduction	2005	Maxim Raginsky
+	Joint fixed-rate universal lossy coding and identification of continuous-alphabet memoryless sources	2005	Maxim Raginsky
+	Quantum system identification	2004	Maxim Raginsky
+ PDF Chat	Radon–Nikodym derivatives of quantum operations	2003	Maxim Raginsky
+	Scaling and Renormalization in Fault-Tolerant Quantum Computers	2003	Maxim Raginsky
+	A Phase Transition and Stochastic Domination in Pippenger's Probabilistic Failure Model for Boolean Networks with Unreliable Gates	2003	Maxim Raginsky
+	Quantum system identification	2003	Maxim Raginsky
+ PDF Chat	Entropy production rates of bistochastic strictly contractive quantum channels on a matrix algebra	2002	Maxim Raginsky
+ PDF Chat	Strictly contractive quantum channels and physically realizable quantum computers	2002	Maxim Raginsky
+ PDF Chat	Almost any quantum spin system with short-range interactions can support toric codes	2002	Maxim Raginsky
+	Entropy-energy balance in noisy quantum computers	2002	Maxim Raginsky
+	Dynamical Aspects of Information Storage in Quantum-Mechanical Systems	2002	Maxim Raginsky
+ PDF Chat	A fidelity measure for quantum channels	2001	Maxim Raginsky
+ PDF Chat	Generation and manipulation of squeezed states of light in optical networks for quantum communication and computation	2001	Maxim Raginsky Prem Kumar

Common Coauthors

Coauthor	Papers Together
Rebecca Willett	19
Naci Saldı	13
Tamer Başar	11
Belinda Tzen	11
Aolin Xu	10
Ehsan Shafieepoorfard	7
Sean Meyn	7
Alexander Rakhlin	7
Svetlana Lazebnik	5
Yifeng Chu	5
Angelia Nedić	5
Tanya Veeravalli	5
Joshua Hanson	5
Prashant G. Mehta	4
Igal Sason	4
Richard S. Laugesen	4
Sina Jafarpour	4
Peng Guan	4
Elyse Rosenbaum	4
Robert Calderbank	4
Jaeho Lee	3
Alan Yang	3
Roummel F. Marcia	3
Andrew C. Singer	3
Pierre Moulin	3
Matus Telgarsky	3
Tengyuan Liang	3
Curt Tigges	2
Jorge Drumond Silva	2
Mehmet A. Donmez	2
Eric Chitambar	2
Jaeho Lee	2
Zachary T. Harmany	2
Jorge Silva	2
Greg Ver Steeg	2
Negar Kiyavash	2
Soomin Lee	2
Stella Biderman	2
Aram Galstyan	2
Talia Ringer	2
AmirEmad Ghassami	2
Hrayr Harutyunyan	2
Serdar Yüksel	2
Can Deha Karıksız	2
Francis Bach	2
Eduardo D. Sontag	2
Aryeh Kontorovich	2
Anant Raj	2
Ali̇ Devran Kara	1
Joshua Hanson	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Topics in Optimal Transportation	2003	Cédric Villani	10
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao	9
+	Concentration inequalities : a non asymptotic theory of independence	2013	Stéphane Boucheron Gábor Lugosi Pascal Massart	9
+ PDF Chat	Spreading of Sets in Product Spaces and Hypercontraction of the Markov Operator	1976	Rudolf Ahlswede Péter Gács	7
+	Information-theoretic asymptotics of Bayes methods	1990	Bertrand Clarke Andrew R. Barron	7
+ PDF Chat	Information-theoretic determination of minimax rates of convergence	1999	Yuhong Yang Andrew R. Barron	6
+	A Variational Approach to Nonlinear Estimation	2003	Sanjoy K. Mitter Nigel J. Newton	6
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	6
+	Weak Convergence and Empirical Processes	1996	Aad van der Vaart Jon A. Wellner	6
+ PDF Chat	Theory of quantum error-correcting codes	1997	Emanuel Knill Raymond Laflamme	5
+	Fundamentals of Convex Analysis	2001	Jean‐Baptiste Hiriart‐Urruty Claude Lemaréchal	5
+ PDF Chat	Fundamentals of quantum information theory	2002	Michael Keyl	5
+	Sparse Recovery of Positive Signals with Minimal Expansion	2009	M. Amin Khajehnejad Alexandros G. Dimakis Weiyu Xu Babak Hassibi	5
+ PDF Chat	Probabilistic Analysis of Mean-Field Games	2013	René Carmona François Delarue	5
+	Neural ordinary differential equations	2018	Ricky T. Q. Chen Yulia Rubanova Jesse Bettencourt David Duvenaud	5
+ PDF Chat	Using Entanglement Improves the Precision of Quantum Measurements	2001	Giacomo Mauro D’Ariano Paoloplacido Lo Presti Matteo G. A. Paris	5
+	Mean Field Games Models—A Brief Survey	2013	Diogo A. Gomes João Saúde	5
+ PDF Chat	Risk-Sensitive Mean-Field Games	2013	Hamidou Tembiné Quanyan Zhu Tamer Başar	5
+	Relative entropy under mappings by stochastic matrices	1993	Joel E. Cohen Yoh Iwasa Gh. Rautu Mary Beth Ruskai E. Seneta Gh. Zbaganu	5
+ PDF Chat	Foundations of Modern Probability	2021	Olav Kallenberg	5
+	Parallel optimization: Theory, algorithms, and applications	1998	Yair Censor Stavros A. Zenios	5
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	5
+	Large-Population LQG Games Involving a Major Player: The Nash Certainty Equivalence Principle	2010	Minyi Huang	5
+	On the density of families of sets	1972	N. Sauer	5
+ PDF Chat	Equilibria of dynamic games with many players: Existence, approximation, and market structure	2013	Sachin Adlakha Ramesh Johari Gabriel Y. Weintraub	5
+	Real Analysis and Probability	1972		5
+	A Radon-Nikodym theorem for completely positive maps	1986	V. P. Belavkin P. Staszewski	4
+	A Weak Convergence Approach to the Theory of Large Deviations	1998	James Lynch Paul Dupuis Richard S. Ellis	4
+ PDF Chat	Convergence of Probability Measures	1999	Patrick Billingsley	4
+	On Sequences of Pairs of Dependent Random Variables	1975	H. S. Witsenhausen	4
+ PDF Chat	Coordination Capacity	2010	Paul Cuff Haim H. Permuter Thomas M. Cover	4
+ PDF Chat	Probability Measures on Metric Spaces.	1968	Б. Л. С. Пракаса Рао K. R. Parthasarathy	4
+ PDF Chat	Approximation of Density Functions by Sequences of Exponential Families	1991	Andrew R. Barron Chyong-Hwa Sheu	4
+	Mean Field Game Theory with a Partially Observed Major Agent	2016	Nevroz Şen Peter E. Caines	4
+	Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation	2014	Ohad Shamir	4
+	A Probabilistic Theory of Pattern Recognition	1996	Luc Devroye László Györfi Gábor Lugosi	4
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	4
+	The statistical mechanics of lattice gases	1993	Barry Simon	4
+ PDF Chat	Bounding $\bar{d}$-distance by informational divergence: a method to prove measure concentration	1996	K. Marton	4
+	Signal Reconstruction From Noisy Random Projections	2006	Jarvis Haupt Robert D. Nowak	4
+	Some aspects of the sequential design of experiments	1952	Herbert Robbins	4
+ PDF Chat	A simple proof of the Poincaré inequality for a large class of probability measures	2008	Dominique Bakry Franck Barthe Patrick Cattiaux Arnaud Guillin	4
+ PDF Chat	Empirical Processes, Typical Sequences, and Coordinated Actions in Standard Borel Spaces	2012	Maxim Raginsky	4
+	How Powerful Can Any Regression Learning Procedure Be	2007	Yuhong Yang	4
+ PDF Chat	A universally acceptable smoothing factor for kernel density estimates	1996	Luc Devroye Gábor Lugosi	4
+ PDF Chat	A Generalization of Ornstein's $\bar d$ Distance with Applications to Information Theory	1975	Robert M. Gray David L. Neuhoff Paul C. Shields	4
+	Exponential Integrability and Transportation Cost Related to Logarithmic Sobolev Inequalities	1999	Sergey G. Bobkov Friedrich Götze	4
+	Asymptotically Subminimax Solutions of Compound Statistical Decision Problems	1985	Herbert Robbins	4
+	Reduction of a Controlled Markov Model with Incomplete Data to a Problem with Complete Information in the Case of Borel State and Control Space	1976	A. A. Yushkevich	4
+ PDF Chat	Long Time Results for a Weakly Interacting Particle System in Discrete Time	2015	Amarjit Budhiraja Abhishek Pal Majumder	4