Karthik Sridharan

发表

Private Causal Inference

Matt J. Kusner, Kilian Q. Weinberger, Yu Sun, 2015, AISTATS.

A Probabilistic Approach to Semantic Face Retrieval System

Venu Govindaraju, Karthik Sridharan, Sharat Chikkerur, 2005, AVBPA.

A Tutorial on Online Supervised Learning with Applications to Node Classification in Social Networks pdf

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2016, ArXiv.

Learning From An Optimization Viewpoint pdf

Karthik Sridharan, Karthik Sridharan, 2012, ArXiv.

The Complexity of Making the Gradient Small in Stochastic Convex Optimization

Ohad Shamir, Nathan Srebro, Karthik Sridharan, 2019, COLT.

Learning Kernel-Based Halfspaces with the Zero-One Loss

Ohad Shamir, Karthik Sridharan, Shai Shalev-Shwartz, 2010, COLT 2010.

Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters

Zeyuan Allen Zhu, Yang Yuan, Karthik Sridharan, 2016, NIPS.

Online Non-Parametric Regression

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2014, COLT.

Learning Kernel-Based Halfspaces with the 0-1 Loss

Ohad Shamir, Karthik Sridharan, Shai Shalev-Shwartz, 2011, SIAM J. Comput..

An Information Theoretic Framework for Multi-view Learning

Sham M. Kakade, Karthik Sridharan, S. Kakade, 2008, COLT.

Online Learning: Random Averages, Combinatorial Parameters, and Learnability

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2010, NIPS.

Online Learning: Sufficient Statistics and the Burkholder Method pdf

Karthik Sridharan, Alexander Rakhlin, Dylan J. Foster, 2018, COLT.

Identifying Handwritten Text in Mixed Documents

Venu Govindaraju, Karthik Sridharan, Faisal Farooq, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Small-loss bounds for online learning with partial information pdf

Éva Tardos, Karthik Sridharan, Thodoris Lykouris, 2017, COLT.

Learnability, Stability and Uniform Convergence

Ohad Shamir, Nathan Srebro, Karthik Sridharan, 2010, J. Mach. Learn. Res..

A neural network based CBIR system using STI features and relevance feedback

K. G. Srinivasa, P. Deepa Shenoy, K. R. Venugopal, 2006, Intell. Data Anal..

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Learning Linear and Kernel Predictors with the 0–1 Loss Function

Ohad Shamir, Karthik Sridharan, Shai Shalev-Shwartz, 2022 .

Online Nonparametric Regression with General Loss Functions pdf

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2015, ArXiv.

Better Mini-Batch Algorithms via Accelerated Gradient Methods

Ohad Shamir, Nathan Srebro, Karthik Sridharan, 2011, NIPS.

ZigZag: A New Approach to Adaptive Online Learning pdf

Karthik Sridharan, Alexander Rakhlin, Dylan J. Foster, 2017, COLT.

Optimization, Learning, and Games with Predictable Sequences

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2013, NIPS.

Online Learning with Predictable Sequences

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2012, COLT.

On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization

Ambuj Tewari, Sham M. Kakade, Karthik Sridharan, 2008, NIPS.

Fast Rates for Regularized Objectives

Nathan Srebro, Karthik Sridharan, Shai Shalev-Shwartz, 2008, NIPS.

Learnability and Stability in the General Learning Setting

Ohad Shamir, Nathan Srebro, Karthik Sridharan, 2009, COLT.

Multi-view clustering via canonical correlation analysis

Sham M. Kakade, Kamalika Chaudhuri, Karthik Sridharan, 2009, ICML '09.

Online Optimization : Competing with Dynamic Comparators pdf

Shahin Shahrampour, Karthik Sridharan, Ali Jadbabaie, 2015, AISTATS.

Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints

Maya R. Gupta, Nathan Srebro, Karthik Sridharan, 2018, ICML.

Online learning via sequential complexities

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2010, J. Mach. Learn. Res..

On the Universality of Online Mirror Descent

Ambuj Tewari, Nathan Srebro, Karthik Sridharan, 2011, NIPS.

Uniform Convergence of Gradients for Non-Convex Learning and Optimization

Karthik Sridharan, Dylan J. Foster, Ayush Sekhari, 2018, NeurIPS.

Learning in Games: Robustness of Fast Convergence

Éva Tardos, Zhiyuan Li, Karthik Sridharan, 2016, NIPS.

No . 067 April 4 , 2017 Theory of Deep Learning III : Generalization Properties of SGD by

Tomaso Poggio, Noah Golowich, Karthik Sridharan, 2017 .

A sampling based approach to facial feature extraction

Venu Govindaraju, Karthik Sridharan, Karthik Sridharan, 2005, Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05).

Adaptive Online Learning

Karthik Sridharan, Alexander Rakhlin, Dylan J. Foster, 2015, NIPS.

Online Nonparametric Regression pdf

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2014, ArXiv.

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals pdf

Maya R. Gupta, Karthik Sridharan, Andrew Cotter, 2018, J. Mach. Learn. Res..

Semantic Face Retrieval

Karthik Sridharan, Karthik Sridharan, 2006 .

Online Learning: Stochastic, Constrained, and Smoothed Adversaries

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2011, NIPS.

Relax and Randomize : From Value to Algorithms

Ohad Shamir, Karthik Sridharan, Alexander Rakhlin, 2012, NIPS.

On Semi-Probabilistic universal prediction

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2013, 2013 IEEE Information Theory Workshop (ITW).

A Dynamic Migration Model for Self-adaptive Genetic Algorithms

K. G. Srinivasa, P. Deepa Shenoy, K. R. Venugopal, 2005, IDEAL.

Distributed Learning with Sublinear Communication pdf

Christopher De Sa, Karthik Sridharan, Dylan J. Foster, 2019, ICML.

Logistic Regression: The Importance of Being Improper pdf

Haipeng Luo, Mehryar Mohri, Karthik Sridharan, 2018, COLT.

EASOM: An efficient soft computing method for predicting share values

K. G. Srinivasa, P. Deepa Shenoy, K. R. Venugopal, 2004 .

Online Learning: Beyond Regret

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2010, COLT.

Selective sampling and active learning from single and multiple teachers

Claudio Gentile, Karthik Sridharan, Ofer Dekel, 2012, J. Mach. Learn. Res..

Hierarchies of Relaxations for Online Prediction Problems with Evolving Constraints

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2015, COLT.

Sequential Probability Assignment with Binary Alphabets and Large Classes of Experts pdf

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2015, ArXiv.

Competitive Mixtures of Simple Neurons

Venu Govindaraju, Karthik Sridharan, Matthew J. Beal, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Localization and Adaptation in Online Learning

Ohad Shamir, Karthik Sridharan, Alexander Rakhlin, 2013, AISTATS.

Efficient Online Multiclass Prediction on Graphs via Surrogate Losses

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2017, AISTATS.

Fast Convergence of Common Learning Algorithms in Games pdf

Éva Tardos, Zhiyuan Li, Karthik Sridharan, 2016, ArXiv.

Inference in Sparse Graphs with Pairwise Measurements and Side Information pdf

Karthik Sridharan, Daniel Reichman, Dylan J. Foster, 2017, AISTATS.

Stochastic Convex Optimization

Ohad Shamir, Nathan Srebro, Karthik Sridharan, 2009, COLT.

Smoothness, Low Noise and Fast Rates

Ambuj Tewari, Nathan Srebro, Karthik Sridharan, 2010, NIPS.

Complexity-Based Approach to Calibration with Checking Rules

Ambuj Tewari, Dean P. Foster, Karthik Sridharan, 2011, COLT.

The Complexity of Improperly Learning Large Margin Halfspaces

Ohad Shamir, Karthik Sridharan, Shai Shalev-Shwartz, 2009, COLT.

BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits pdf

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2016, ICML.

Algorithmic Learning Theory ALT 2018: Preface

Mehryar Mohri, Karthik Sridharan, M. Mohri, 2018 .

Online Learning: Stochastic and Constrained Adversaries pdf

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2011, ArXiv.

On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities pdf

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2015, COLT.

Statistical Learning and Sequential Prediction

Karthik Sridharan, Alexander Rakhlin, Karthik Sridharan, 2014 .

Two-Player Games for Efficient Non-Convex Constrained Optimization

Karthik Sridharan, Andrew Cotter, Heinrich Jiang, 2018, ALT.

Hypothesis Set Stability and Generalization

Haipeng Luo, Mehryar Mohri, Karthik Sridharan, 2019, NeurIPS.

Learning with Square Loss: Localization through Offset Rademacher Complexity pdf

Karthik Sridharan, Tengyuan Liang, Alexander Rakhlin, 2015, COLT.

Relax and Localize: From Value to Algorithms pdf

Ohad Shamir, Karthik Sridharan, Alexander Rakhlin, 2012, ArXiv.

Empirical Entropy, Minimax Regret and Minimax Risk pdf

Karthik Sridharan, Alexander Rakhlin, Alexandre B. Tsybakov, 2013, ArXiv.

Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss

Nathan Srebro, Karthik Sridharan, Shai Ben-David, 2012, ICML.

Parameter-Free Online Learning via Model Selection

Mehryar Mohri, Karthik Sridharan, Satyen Kale, 2017, NIPS.

Competing With Strategies

Karthik Sridharan, Wei Han, Alexander Rakhlin, 2013, COLT.

Musings on Deep Learning: Properties of SGD

Noah Golowich, Karthik Sridharan, Tomaso Poggio, 2017 .

SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs pdf

Karthik Sridharan, Satyen Kale, Ayush Sekhari, 2021, NeurIPS.

Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations pdf

Yishay Mansour, Mehryar Mohri, Karthik Sridharan, 2021, NeurIPS.