Irina Rish

发表

Predicting conversion to psychosis in clinical high risk patients using resting-state functional MRI features

Guillermo A. Cecchi, Jolie McDonnell, William Hord, 2019, Medical Imaging.

Self-healing in large-scale systems: parallel and distributed diagnostic architectures

David Loewenstern, Irina Rish, Shang Guo, 2005 .

Approximability of Probability Distributions

Alina Beygelzimer, Irina Rish, A. Beygelzimer, 2003, NIPS.

Dialogue Modeling Via Hash Functions

Palash Goyal, Sahil Garg, Guillermo A. Cecchi, 2018, LaCATODA@IJCAI.

Test-based diagnosis: tree and matrix representations

Sheng Ma, Alina Beygelzimer, Irina Rish, 2005, 2005 9th IFIP/IEEE International Symposium on Integrated Network Management, 2005. IM 2005..

Adaptive Representation Selection in Contextual Bandit with Unlabeled History pdf

Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish, 2018, ArXiv.

Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World

Sahil Garg, Guillermo A. Cecchi, Irina Rish, 2017, IJCAI.

Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks pdf

Shantenu Jha, Russell Greiner, Pouya Bashivan, 2017, ArXiv.

Holographic brain: Distributed versus local activation patterns in fMRI

Guillermo A. Cecchi, Irina Rish, G. Cecchi, 2017, IBM J. Res. Dev..

Closed-form supervised dimensionality reduction with generalized linear models

Geoffrey J. Gordon, Francisco Pereira, Genady Grabarnik, 2008, ICML '08.

Bayesian Approaches for Sparse Latent Variable Models: Reconsidering L1 Sparsity

Guillermo A. Cecchi, Irina Rish, Alexandru Niculescu-Mizil, 2014 .

Efficient Representation for Natural Language Processing via Kernelized Hashcodes pdf

Sahil Garg, Guillermo A. Cecchi, Irina Rish, 2017, ArXiv.

IBM Research Report Kikuchi-Bayes: Markov Networks for Classification

Aleks Jakulin, Irina Rish, 2005 .

A Scheme for Approximating Probabilistic Inference pdf

Rina Dechter, Irina Rish, R. Dechter, 1997, UAI.

A Unified Framework for Evaluation Metrics in Classification Using Decision Trees

Ricardo Vilalta, Irina Rish, Mark Brodie, 2001, ECML.

Advances in Bayesian Learning

Irina Rish, I. Rish, 2000 .

Bayesian Learning of Markov Network Structure

Aleks Jakulin, Irina Rish, I. Rish, 2006, ECML.

Adaptive Representation Selection in Contextual Bandit.

Djallel Bouneffouf, Irina Rish, Baihan Lin, 2018 .

Mental State Recognition via Wearable EEG pdf

Pouya Bashivan, Irina Rish, Steve Heisig, 2016, ArXiv.

Mini-buckets: A general scheme for bounded inference

Rina Dechter, Irina Rish, R. Dechter, 2003, JACM.

Adaptive diagnosis in distributed systems

Sheng Ma, Genady Grabarnik, Alina Beygelzimer, 2005, IEEE Transactions on Neural Networks.

Real-time problem determination in distributed systems using active probing

Sheng Ma, Genady Grabarnik, Irina Rish, 2004, 2004 IEEE/IFIP Network Operations and Management Symposium (IEEE Cat. No.04CH37507).

An empirical study of the naive Bayes classifier

Irina Rish, I. Rish, 2001 .

Statistical Analysis of Backtracking on Inconsistent CSPs

Irina Rish, Daniel Frost, Daniel Frost, 1997, CP.

Learning discriminative functional network features of schizophrenia

Russell Greiner, Pouya Bashivan, Guillermo A. Cecchi, 2017, Medical Imaging.

Sparse Regression Models of Pain Perception

Guillermo A. Cecchi, Irina Rish, A. Vania Apkarian, 2010, Brain Informatics.

Variable Selection for Gaussian Graphical Models

Dimitris Samaras, Jean Honorio, Guillermo A. Cecchi, 2012, AISTATS.

Directional Resolution: The Davis-Putnam Procedure, Revisited

Rina Dechter, Irina Rish, R. Dechter, 1994, KR.

Kernelized Hashcode Representations for Biomedical Relation Extraction

Sahil Garg, Guillermo A. Cecchi, Irina Rish, 2017, AAAI Conference on Artificial Intelligence.

Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference pdf

Gerald Tesauro, Miao Liu, Irina Rish, 2018, ICLR.

Critical event prediction for proactive management in large-scale computer clusters

Anand Sivasubramaniam, José E. Moreira, Ricardo Vilalta, 2003, KDD '03.

Strategies for Problem Determination using Probing

Sheng Ma, Alina Beygelzimer, Irina Rish, 2002 .

A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes

Ricardo Vilalta, Irina Rish, R. Vilalta, 2003, ECML.

Evaluation of Optimization Methods for Network Bottleneck Diagnosis

Jeffrey O. Kephart, Alina Beygelzimer, Irina Rish, 2007, Fourth International Conference on Autonomic Computing (ICAC'07).

Summarizing CSP Hardness with Continuous Probability Distributions

Irina Rish, Lluís Vila, Daniel Frost, 1997, AAAI/IAAI.

Efficient Test Selection in Active Diagnosis via Entropy Approximation pdf

Alina Beygelzimer, Irina Rish, Alice X. Zheng, 2005, UAI.

Functional MRI Analysis with Sparse Models

Irina Rish, 2013, ECML/PKDD.

IBM Research Report SINCO - A Greedy Coordinate Ascent Method for Sparse Inverse Covariance Selection Problem

Katya Scheinberg, Irina Rish, K. Scheinberg, 2009 .

Predictive Dynamics of Human Pain Perception

Guillermo A. Cecchi, Irina Rish, A. Vania Apkarian, 2012, PLoS Comput. Biol..

Beyond Backprop: Online Alternating Minimization with Auxiliary Variables

Brian Kingsbury, Viatcheslav Gurev, Djallel Bouneffouf, 2018, ICML.

Resolution versus Search: Two Strategies for SAT

Rina Dechter, Irina Rish, R. Dechter, 2000, Journal of Automated Reasoning.

The Challenges of Systems Biology

Guillermo A. Cecchi, Irina Rish, Alexandru Niculescu-Mizil, 2014 .

Functional Network Disruptions in Schizophrenia.

Irina Rish, Guillermo A Cecchi, 2017, Methods in molecular biology.

Computing the structure of language for neuropsychiatric evaluation

Viatcheslav Gurev, Raquel Norel, Guillermo A. Cecchi, 2017, IBM J. Res. Dev..

Continual Learning with Self-Organizing Maps pdf

Martin Schrimpf, Pouya Bashivan, Irina Rish, 2019, ArXiv.

IBM Research Report Isometry-enforcing Data Transformations for Improving Sparse Model Learning

Bhuvana Ramabhadran, Dimitri Kanevsky, Guillermo A. Cecchi, 2009 .

Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks

Alina Beygelzimer, Irina Rish, A. Beygelzimer, 2002, KR.

Context Attentive Bandits: Contextual Bandit with Restricted Context pdf

Raphaël Féraud, Djallel Bouneffouf, Guillermo A. Cecchi, 2017, IJCAI.

Blind source separation approach to performance diagnosis and dependency discovery

Irina Rish, Gaurav Chandalia, 2007, IMC '07.

Improving network robustness

Alina Beygelzimer, Irina Rish, Ralph Linsker, 2004, International Conference on Autonomic Computing, 2004. Proceedings..

Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease

Andrew Wood, Guillermo A. Cecchi, Pablo Polosecki, 2017, IBM J. Res. Dev..

Improving network robustness

Irina Rish, Ralph Linsker, Geoffrey Grinstein, 2004 .

Empirical Evaluation of Approximation Algorithms for Probabilistic Decoding pdf

Rina Dechter, Kalev Kask, Irina Rish, 1998, UAI.

Optimizing Probe Selection for Fault Localization

Sheng Ma, Irina Rish, Mark Brodie, 2001, DSOM.

Sparse modeling: theory, algorithms, and applications (chapman & hallcrc machine learning & pattern recognition)

Genady Grabarnik, Irina Rish, 2015 .

Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach

Pouya Bashivan, Guillermo A. Cecchi, Irina Rish, 2016, SPIE Medical Imaging.

Efficient fault diagnosis using probing

Sheng Ma, Irina Rish, Mark Brodie, 2002 .

Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach

Katya Scheinberg, Irina Rish, K. Scheinberg, 2010, ECML/PKDD.

Sparse Modeling: Theory, Algorithms, and Applications

Genady Grabarnik, Irina Rish, I. Rish, 2014 .

Dialogue Modeling Via Hash Functions: Applications to Psychotherapy pdf

Palash Goyal, Sahil Garg, Guillermo A. Cecchi, 2018, ArXiv.

Mini-buckets: a general scheme for approximating inference

Rina Dechter, Irina Rish, R. Dechter, 2002 .

MINT: Mutual Information Based Transductive Feature Selection for Genetic Trait Prediction

David Haws, Laxmi Parida, Irina Rish, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Machine Learning and Interpretation in Neuroimaging

Georg Langs, Brian Murphy, Guillermo A. Cecchi, 2014, Lecture Notes in Computer Science.

Value iteration and policy iteration algorithms for Markov decision problem

Rina Dechter, Irina Rish, Elena Pashenkova, 1996 .

Beyond Backprop: Alternating Minimization with co-Activation Memory pdf

Brian Kingsbury, Djallel Bouneffouf, Ronny Luss, 2018, ArXiv.

Active Collaborative Prediction with Maximum Margin Matrix Factorization

Gerald Tesauro, Irina Rish, 2008, ISAIM.

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks pdf

Mohammed Yeasin, Pouya Bashivan, Irina Rish, 2015, ICLR.

Prediction and interpretation of distributed neural activity with sparse models

A. Ravishankar Rao, Rahul Garg, Guillermo A. Cecchi, 2009, NeuroImage.

Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders pdf

Djallel Bouneffouf, Jenna Reinen, Irina Rish, 2019, ArXiv.

Intelligent probing: A cost-effective approach to fault diagnosis in computer networks

Sheng Ma, Irina Rish, Mark Brodie, 2002, IBM Syst. J..

To Guess or to Think? Hybrid Algorithms for SAT (Extended Abstract)

Rina Dechter, Irina Rish, R. Dechter, 1996, CP.

Map approach to learning sparse Gaussian Markov networks

Bhuvana Ramabhadran, Dimitri Kanevsky, Katya Scheinberg, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM

Peng Zheng, Aleksandr Y. Aravkin, Guillermo A. Cecchi, 2018, bioRxiv.

Sparse regression analysis of task-relevant information distribution in the brain

Guillermo A. Cecchi, Irina Rish, A. Vania Apkarian, 2012, Medical Imaging.

Estimating End-to-End Performance by Collaborative Prediction with Active Sampling

Gerald Tesauro, Irina Rish, G. Tesauro, 2007, 2007 10th IFIP/IEEE International Symposium on Integrated Network Management.

Schizophrenia classification using functional network features

Guillermo A. Cecchi, Irina Rish, Kyle Heuton, 2012, Medical Imaging.

A Survey on Practical Applications of Multi-Armed and Contextual Bandits pdf

Djallel Bouneffouf, Irina Rish, I. Rish, 2019, ArXiv.

Empirical Study of Topology Effects on Diagnosis in Computer Networks

Irina Rish, Natalia Odintsova, I. Rish, 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

Accuracy vs. efficiency trade-offs in probabilistic diagnosis

Sheng Ma, Irina Rish, Mark Brodie, 2002, AAAI/IAAI.

Using Sensitivity Analysis for Selective Parameter Update in Bayesian Network Learning

Haiqin Wang, Sheng Ma, Irina Rish, 2002 .

Bandit Models of Human Behavior: Reward Processing in Mental Disorders pdf

Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish, 2017, AGI.

Statictical Models for Unequally Spaced Time Series

Sheng Ma, Alina Beygelzimer, Irina Rish, 2005, SDM.

Transductive HSIC Lasso

Laxmi Parida, Irina Rish, Dan He, 2014, SDM.

Contextual Bandit with Adaptive Feature Extraction

Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Kernelized Hashcode Representations for Relation Extraction

Sahil Garg, Irina Rish, Aram Galstyan, 2019, AAAI.

Approximation Algorithms for Probabilistic Decoding

Kalev Kask, Irina Rish, Kalev Kask, 2007 .

Sparse Markov net learning with priors on regularization parameters

Katya Scheinberg, Irina Rish, Narges Bani Asadi, 2010, ISAIM.

Recognizing End-User Transactions in Performance Management

Joseph L. Hellerstein, T. S. Jayram, Irina Rish, 2000, AAAI/IAAI.

Sequoia: A Software Framework to Unify Continual Learning Research pdf

Massimo Caccia, Khimya Khetarpal, Irina Rish, 2021, ArXiv.

Understanding Continual Learning Settings with Data Distribution Drift Analysis pdf

Massimo Caccia, Irina Rish, Timoth'ee Lesort, 2021, ArXiv.

Continual Learning In Environments With Polynomial Mixing Times pdf

Irina Rish, Ignacio Cases, Matthew Riemer, 2021, ArXiv.

Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers pdf

Ethan Caballero, Irina Rish, Gabriele Prato, 2021, ArXiv.

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL pdf

Djallel Bouneffouf, Jenna Reinen, Irina Rish, 2020, ArXiv.

Towards Causal Federated Learning For Enhanced Robustness and Privacy pdf

Irina Rish, Sreya Francis, Irene Tenison, 2021, ArXiv.

Parametric Scattering Networks pdf

Michael Eickenberg, Irina Rish, Guy Wolf, 2021, ArXiv.

Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks

Peng Zheng, Aleksandr Y. Aravkin, Pablo Polosecki, 2021, Neural Computation.

Compositional Attention: Disentangling Search and Retrieval pdf

Yoshua Bengio, Irina Rish, Guillaume Lajoie, 2021, ArXiv.

Approximate Bayesian Optimisation for Neural Networks pdf

Irina Rish, Nadhir Hassen, 2021, ArXiv.

Gradient Masked Federated Optimization pdf

Irina Rish, Sreya Francis, Irene Tenison, 2021, ArXiv.

Continual Learning in Deep Networks: an Analysis of the Last Layer pdf

Irina Rish, Thomas George, Timoth'ee Lesort, 2021, ArXiv.

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization pdf

Yoshua Bengio, Ethan Caballero, Kartik Ahuja, 2021, ArXiv.

SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization pdf

Kartik Ahuja, Irina Rish, Soroosh Shahtalebi, 2021, ArXiv.

Toward Skills Dialog Orchestration with Online Learning

Raphaël Féraud, Yasaman Khazaeni, Djallel Bouneffouf, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Toward Optimal Solution for the Context-Attentive Bandit Problem

Raphaël Féraud, Yasaman Khazaeni, Djallel Bouneffouf, 2021, IJCAI.

Multi-fault Diagnosis in Dynamic Systems

Irina Rish, Natalia Odintsova, 2005 .

Schizophrenia as a Network Disease: Disruption of Emergent Brain Function in Patients with Auditory Hallucinations

Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion, 2013, PloS one.

Mini-buckets : a general scheme for approximatinginferenceRina Dechter and

Irina Rish, I. Rish, 1998 .

Information-theoretic approaches to cost-efficient diagnosis

Irina Rish, I. Rish, 2006 .

Problem Diagnosis in Distributed Systems using Active Probing

Sheng Ma, Genady Grabarnik, Irina Rish, 2003 .

COVI White Paper pdf

Yoshua Bengio, Tristan Deleu, Tegan Maharaj, 2020, ArXiv.

IBM Research Report Discriminative Network Models of Schizophrenia

Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion, 2010 .

Entropy Approximation for Active Fault Diagnosis

Alina Beygelzimer, Irina Rish, Alice X. Zheng, 2004 .

Stability and Reproducibility in fMRI Analysis

Guillermo A. Cecchi, Irina Rish, Aurelie C. Lozano, 2014 .

Genady Grabarnik, Irina Rish, Mark Brodie, 2002 .

COVI White Paper-Version 1.1

Yoshua Bengio, Tristan Deleu, Tegan Maharaj, 2020 .

Statistical Learning for Resting-State fMRI : Successes and Challenges

Irina Rish, I. Rish, Gearg Langs, 2019 .

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning pdf

Min Lin, Irina Rish, Massimo Caccia, 2020, ArXiv.

Augmented Human : Human OS for Improved Mental Function ( Position Paper )

Irina Rish, Guillermo Cecchi, Steve Heisig, 2014 .