Andrew Ross Barron
#144,158
Most Influential Person Now
Andrew Ross Barron's AcademicInfluence.com Rankings
Andrew Ross Barroncomputer-science Degrees
Computer Science
#7112
World Rank
#7491
Historical Rank
Machine Learning
#2525
World Rank
#2559
Historical Rank
Database
#4168
World Rank
#4335
Historical Rank
Download Badge
Computer Science
Andrew Ross Barron's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science University of California, Berkeley
Similar Degrees You Can Earn
Why Is Andrew Ross Barron Influential?
(Suggest an Edit or Addition)Andrew Ross Barron's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Universal approximation bounds for superpositions of a sigmoidal function (1993) (2798)
- The Minimum Description Length Principle in Coding and Modeling (1998) (1101)
- Risk bounds for model selection via penalization (1999) (789)
- Information-theoretic determination of minimax rates of convergence (1999) (557)
- Minimum complexity density estimation (1991) (537)
- Information-theoretic asymptotics of Bayes methods (1990) (473)
- ENTROPY AND THE CENTRAL LIMIT THEOREM (1986) (376)
- Approximation and Estimation Bounds for Artificial Neural Networks (1991) (376)
- Approximation and estimation bounds for artificial neural networks (2004) (368)
- The consistency of posterior distributions in nonparametric problems (1999) (368)
- Jeffreys' prior is asymptotically least favorable under entropy risk (1994) (309)
- Mixture Density Estimation (1999) (286)
- Approximation and learning by greedy algorithms (2008) (281)
- Information Theory and Mixing Least-Squares Regressions (2006) (260)
- APPROXIMATION OF DENSITY FUNCTIONS BY SEQUENCES OF EXPONENTIAL FAMILIES (1991) (258)
- THE STRONG ERGODIC THEOREM FOR DENSITIES: GENERALIZED SHANNON-MCMILLAN-BREIMAN THEOREM' (1985) (214)
- Complexity Regularization with Application to Artificial Neural Networks (1991) (198)
- Asymptotic minimax regret for data compression, gambling, and prediction (1997) (183)
- Fisher information inequalities and the central limit theorem (2001) (161)
- Generalized Entropy Power Inequalities and Monotonicity Properties of Information (2006) (154)
- An asymptotic property of model selection criteria (1994) (116)
- Distribution estimation consistent in total variation and in two types of information divergence (1992) (115)
- Minimax redundancy for the class of memoryless sources (1997) (110)
- Approximation by Combinations of ReLU and Squared ReLU Ridge Functions With $\ell^1$ and $\ell^0$ Controls (2016) (94)
- Estimation of mixture models (1999) (90)
- Adaptive estimation of the intensity of inhomogeneous Poisson processes via concentration inequalities (2003) (87)
- Discussion: Multivariate Adaptive Regression Splines (1991) (82)
- Least squares superposition codes of moderate dictionary size, reliable at rates up to capacity (2010) (76)
- Uniformly Powerful Goodness of Fit Tests (1989) (72)
- Are Bayes Rules Consistent in Information (1987) (71)
- Fast Sparse Superposition Codes Have Near Exponential Error Probability for $R<{\cal C}$ (2014) (69)
- Exact minimax strategies for predictive density estimation, data compression, and model selection (2002) (69)
- A bound on the financial value of information (1988) (62)
- Polar coding schemes for the AWGN channel (2011) (60)
- Risk Bounds for High-dimensional Ridge Function Combinations Including Neural Networks (2016) (57)
- Approximation and Estimation for High-Dimensional Deep Learning Networks (2018) (53)
- Least Squares Superposition Codes of Moderate Dictionary Size Are Reliable at Rates up to Capacity (2012) (49)
- Asymptotically minimax regret by Bayes mixtures (1998) (46)
- Toward fast reliable communication at rates near capacity with Gaussian noise (2010) (44)
- High-rate sparse superposition codes with iteratively optimal estimates (2012) (40)
- Asymptotic minimax regret for data compression, gambling and prediction (1997) (39)
- A teacher''s guide to distance learning (1999) (37)
- Efficient Universal Portfolios for Past‐Dependent Target Classes (2003) (37)
- Limits of information, Markov chains, and projection (2000) (37)
- Asymptotically optimal function estimation by minimum complexity criteria (1994) (29)
- A Better Approximation for Balls (2000) (29)
- The Monotonicity of Information in the Central Limit Theorem and Entropy Power Inequalities (2006) (28)
- Information theory and superefficiency (1998) (24)
- Sparse Regression Codes (2019) (24)
- Coded Computing: Mitigating Fundamental Bottlenecks in Large-Scale Distributed Computing and Machine Learning (2020) (23)
- Uniform Approximation by Neural Networks Activated by First and Second Order Ridge Splines (2016) (23)
- Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation (2019) (22)
- Sparse Superposition Codes: Fast and Reliable at Rates Approaching Capacity with Gaussian Noise (2010) (18)
- Minimax lower bounds for ridge combinations including neural nets (2017) (18)
- APPROXIMATE ITERATIVE BAYES OPTIMAL ESTIMATES FOR HIGH-RATE SPARSE SUPERPOSITION CODES (2013) (17)
- Asymptotically minimax regret for exponential families (2005) (17)
- Bayesian properties of normalized maximum likelihood and its fast computation (2014) (16)
- [Neural Networks: A Review from Statistical Perspective]: Comment (1994) (16)
- Predicted Squared Error: A Criterion for Automatic Model Selection (2020) (15)
- THE MDL PRINCIPLE , PENALIZED LIKELIHOODS , AND STATISTICAL RISK (2008) (15)
- Approximation Bounds For Superpositions Of A Sigmoidal Function (1991) (15)
- Properties of Jeffreys Mixture for Markov Sources (2013) (14)
- Robustly Minimax Codes for Universal Data Compression (1998) (12)
- Exact minimax strategies for predictive density estimation, data compression and model selection (2002) (12)
- MDL, penalized likelihood, and statistical risk (2008) (12)
- Information theoretic validity of penalized likelihood (2014) (10)
- Study of Interactions Between Individual Phenolics of Aronia with Barley Beta-Glucan (2021) (9)
- Discussion: On the Consistency of Bayes Estimates (1986) (9)
- Fast Sparse Superposition Codes have Exponentially Small Error Probability for R < C (2012) (9)
- Analysis of fast sparse superposition codes (2011) (8)
- LARGE ALPHABET CODING AND PREDICTION THROUGH POISSONIZATION AND TILTING (2013) (8)
- Minimax Compression and Large Alphabet Approximation Through Poissonization and Tilting (2017) (7)
- The Early History of Nanotechnology (2018) (7)
- Estimation with two hidden layer neural nets (1999) (7)
- Large Alphabet Compression and Predictive Distributions through Poissonization and Tilting (2014) (6)
- Correction to 'Minimum Complexity Density Estimation' (1991) (6)
- MDL Procedures with ` 1 Penalty and their Statistical Risk (2008) (6)
- MDL Procedures with ` 1 Penalty and their Statistical Risk (2008) (6)
- Fourier Transform Infrared Spectroscopy of Metal Ligand Complexes (2010) (6)
- Asymptotically minimax regret by Bayes mixtures for non-exponential families (2013) (6)
- Mixture models achieving optimal coding regret (1998) (6)
- Compression and predictive distributions for large alphabet i.i.d and Markov models (2014) (6)
- CARBON NANOTUBES : OPPORTUNITIES AND CHALLENGES (2008) (6)
- Contribution to the Theory of Pitman Estimators (2013) (6)
- Penalized least squares, model selection, convex hull classes and neural nets (2001) (6)
- TERT-BUTYL ARSOLANE AND ARSENANE: SYNTHESIS AND MASS SPECTROMETRY (1990) (5)
- The minimum description length principle in coding and modeling (invited paper) (2000) (5)
- Information Theory of Penalized Likelihoods and its Statistical Implications (2014) (5)
- Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading (2012) (4)
- Asymptotically minimax regret for models with hidden variables (2014) (4)
- Adaptive Annealing (2008) (4)
- Information Theory in Probability, Statistics, Learning, and Neural Nets (Abstract) (1997) (4)
- Nanomaterials for alternative energy sources. (2008) (3)
- Correction: Approximation of Density Functions by Sequences of Exponential Families (1991) (3)
- Group 13-16 Precursors: What Controls Their Volatility? (1995) (3)
- STATISTICAL CURVATURE AND STOCHASTIC COMPLEXITY (2006) (3)
- Stochastic Complexity for tree models (2014) (3)
- Maximal Compounded Wealth for Portfolios of Stocks and Options (2003) (2)
- Lattice-Reduction-Aided and Integer-Forcing Equalization (2019) (2)
- Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families (2019) (2)
- Minimax risks for distributed estimation of the background in a field of noise sources (2009) (2)
- USING THE METHOD OF NEARBY MEASURES IN SUPERPOSITION CODING WITH A BERNOULLI DICTIONARY (2013) (2)
- A model for pricing data bundles based on minimax risks for estimation of a location parameter (2009) (2)
- Size Exclusion Chromatography and its Application in Polymer Science (2010) (1)
- Exact Minimax Predictive Density Estimation and MDL (2017) (1)
- The Role of Graphene in New Thermoelectric Materials (2023) (1)
- Chapter 5. Insulating Materials (2007) (1)
- Overcoming Mass Transfer Limitations in Cross-Linked Polyethyleneimine-Based Adsorbents to Enable Selective CO2 Capture at Ambient Temperature (2022) (1)
- Jeffreys' prior yields the asymptotic minimax redundancy (1994) (1)
- Asymptotically optimal model selection and neural nets (1994) (1)
- Approximation by Combinations of ReLU and Squared ReLU Ridge Functions With <inline-formula> <tex-math notation="LaTeX">$\ell^1$ </tex-math> </inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\ell^0$ </tex-math> (2018) (1)
- Standardizing the Empirical Distribution Function Yields the Chi-Square Statistic (2016) (0)
- tert-Butylarsolane and -arsenane: Synthesis and Mass Spectrometry. (1990) (0)
- NMR Spectroscopy of Stereoisomers (2011) (0)
- A note on weighted least square distribution fitting and full standardization of the empirical distribution function (2018) (0)
- Characteristic IR Vibrational Modes for Hydrocarbon Compounds (2010) (0)
- The following derivation is due to (0)
- Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density (2022) (0)
- A Maximum Wealth Asset Index and Mixture Strategies for Universal Portfolios on Subsets of Stocks (2007) (0)
- The stabilized polymer compositions (1994) (0)
- A note on weighted least square distribution fitting and full standardization of the empirical distribution function (2018) (0)
- CFD Analysis of the Location of a Rear Wing on an Aston Martin DB7 in Order to Optimize Aerodynamics for Motorsports (2022) (0)
- Fluorescence Characterization and its Application in DNA Detection * Kewei (2018) (0)
- Entropy power inequalities (2019) (0)
- Synthesis and Characterization of Benzylindium Compounds. (1989) (0)
- Principles of Mass Spectrometry and Modern Applications (2011) (0)
- Low Valent and Paramagnetic Compounds of Aluminum (1993) (0)
- THE CONSISTENCY OF POSTERIORDISTRIBUTIONS IN NONPARAMETRICPROBLEMSBy (1996) (0)
- Combining least-squares regressions: an upper-bound on mean-squared error (2005) (0)
- Thermal Protective Coating for High Temperature Polymer Composites (1999) (0)
- SEQUENCES OF EXPONENTIAL FAMILIES (2016) (0)
- Universal Coding of Non-Discrete Sources Based on Distribution Estimation Consistent in Expected Information Divergence (1993) (0)
This paper list is powered by the following services:
What Schools Are Affiliated With Andrew Ross Barron?
Andrew Ross Barron is affiliated with the following schools:
