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DAPHNE KOLLER'S PUBLICATIONS
Each entry points to a page containing the paper's abstract and a link for fetching it.INVITED PAPERS
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Structured Representations and Intractibility, Position Paper for the AI Working Group, of the ACM Workshop on Strategic Directions in Computing Research , 1996. Appeared electronically in ACM Computing Surveys, Vol. 28, No. 4.
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Information agents: A new challenge for AI , D. Koller and Y. Shoham. IEEE Expert , June 1996, pages 8-10.
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A Response to `Believing on the basis of evidence', F. Bacchus, A.J. Grove, J.Y. Halpern, and D. Koller. Computational Intelligence , 10 :1, 1994.
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Generating degrees of belief from statistical information: An overview, F. Bacchus, A.J. Grove, J.Y. Halpern, and D. Koller. Proceedings of the 13th Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS) , Bombay, India, 1993, pages 318-325.
PUBLICATIONS in REFEREED JOURNALS
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Representations and Solutions for Game-Theoretic Problems, D. Koller and A.J. Pfeffer. Artificial Intelligence, 94 (1), July 1997, pages 167--215.
Representations and solutions for game-theoretic problems. [postscript]
Artificial Intelligence Journal, vol. 94, pp. 167-215.
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From statistical knowledge bases to degrees of belief, F. Bacchus, A.J. Grove, J.Y. Halpern, and D. Koller. Artificial Intelligence , 87 , February 1997, pages 75--143.
From statistical knowledge bases to degrees of belief. [postscript]
Artificial Intelligence Journal, vol. 87 (1996), pp. 75-143.
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Adaptive probabilistic networks with hidden variables, J. Binder, D. Koller, S.J. Russell, and K. Kanazawa. Machine Learning Journal , to appear.
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(De)randomized construction of small sample spaces in NC , D.R. Karger and D. Koller. Journal of Computer and System Sciences , special issue of selected papers from FOCS '94 (by invitation), to appear.
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Finding mixed strategies with small supports in extensive form games, D. Koller and N. Megiddo. International Journal of Game Theory , 25 :1, March 1996, pages 73-92.
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Minmax equilibria in team games, B. von Stengel and D. Koller. Games and Economic Behavior , 21 , December 1997, pages 309-321.
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Efficient computation of equilibria for extensive two-person games, D. Koller, N. Megiddo, and B. von Stengel. Games and Economic Behavior , 14 :2, June 1996, pages 247-259.
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Asymptotic conditional probabilities: The unary case, A.J. Grove, J.Y. Halpern, and D. Koller. SIAM Journal on Computing , 25 :1, February 1996, pages 1--51.
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Asymptotic conditional probabilities: The non-unary case, A.J. Grove, J.Y. Halpern, and D. Koller. Journal of Symbolic Logic , 61 :1, March 1996, pages 250--276.
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Random worlds and maximum entropy, A.J. Grove, J.Y. Halpern, and D. Koller. Journal of Artificial Intelligence Research , August 1994, pages 33--88.
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Constructing small sample spaces satisfying given constraints, D. Koller and N. Megiddo. SIAM Journal on Discrete Mathematics , 7 :2, May 1994, pages 260--274.
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Finding the hidden path: time bounds for all-pairs shortest paths, D.R. Karger, D. Koller, and S.J. Phillips. SIAM Journal on Computing 22 :6, December 1993, pages 1199-1217.
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The complexity of two-person zero-sum games in extensive form, D. Koller and N. Megiddo. Games and Economic Behavior 4 :4, October 1992, pages 528--552.
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Fault-tolerant critical section management in asynchronous environments, A. Bar-Noy, D. Dolev, D. Koller, and D. Peleg. Information and Computation 95 :1, November 1991, pages 1--20.
PUBLICATIONS in REFEREED CONFERENCES
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Structured representation of complex stochastic systems, N. Friedman, D. Koller, and A. Pfeffer. Proceedings of the 15th National Conference on Artificial Intelligence (AAAI) , Madison, Wisconsin, July 1998, to appear.
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Probabilistic frame-based systems, D. Koller and A. Pfeffer. Proceedings of the 15th National Conference on Artificial Intelligence (AAAI) , Madison, Wisconsin, July 1998, to appear.
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Tractable inference for complex stochastic processes, X. Boyen and D. Koller, Proceedings of the 14th Annual Conference on Uncertainty in AI (UAI) , Madison, Wisconsin, July 1998, to appear.
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Using learning for approximation in stochastic processes, D. Koller and R. Fratkina. Proceedings of the 15th International Conference on Machine Learning (ML) , Madison, Wisconsin, July 1998, to appear.
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Update rules for parameter estimation in Bayesian networks, E. Bauer, D. Koller, and Y. Singer. Proceedings of the 13th Annual Conference on Uncertainty in AI (UAI) , Providence, Rhode Island, August 1997, pages 3--13.
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Object-Oriented Bayesian Networks, D. Koller and A. Pfeffer. Proceedings of the 13th Annual Conference on Uncertainty in AI (UAI) , Providence, Rhode Island, August 1997, pages 302--313. Winner of the UAI '97 best student paper award.
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Nonuniform dynamic discretization in hybrid networks, A.V. Kozlov and D. Koller. Proceedings of the 13th Annual Conference on Uncertainty in AI (UAI) , Providence, Rhode Island, August 1997, pages 314--325.
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Effective Bayesian Inference for Stochastic Programs, D. Koller, D. McAllester, and A. Pfeffer. Proceedings of the 14th National Conference on Artificial Intelligence (AAAI) , Providence, Rhode Island, August 1997, pages 740--747.
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P-Classic: A tractable probabilistic description logic, D. Koller, A. Levy, and A. Pfeffer. Proceedings of the 14th National Conference on Artificial Intelligence (AAAI) , Providence, Rhode Island, August 1997, pages 390--397.
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Learning probabilities for noisy first-order rules, D. Koller and A. Pfeffer. Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI) , Nagoya, Japan, August 1997, pages 1316--1321.
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Hierarchically classifying documents using very few words, D. Koller and M. Sahami. Proceedings of the 14th International Conference on Machine Learning (ML) , Nashville, Tennessee, July 1997, pages 170--178.
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Using probabilistic information in data integration, D. Florescu, D. Koller, and A. Levy. Conference on Very Large Databases (VLDB) , Athens, Greece, August 1997.
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Context-Specific Independence in Bayesian Networks, C. Boutilier, N. Friedman, M. Goldszmidt, and D. Koller. Proceedings of the 12th Annual Conference on Uncertainty in AI (UAI) , Portland, Oregon, August 1996, pages 115--123.
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Toward optimal feature selection, D. Koller and M. Sahami. Proceedings of the 13th International Conference on Machine Learning (ML) , Bari, Italy, July 1996, pages 284--292.
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Irrelevance and conditioning in first-order probabilistic logic, D. Koller and J.Y. Halpern. Proceedings of the 13th National Conference on Artificial Intelligence (AAAI) , Portland, Oregon, August 1996, pages 569--576.
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First-order conditional logic revisited, N. Friedman, J.Y. Halpern, and D. Koller. Proceedings of the 13th National Conference on Artificial Intelligence (AAAI) , Portland, Oregon, August 1996, pages 1305--1312.
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Stochastic simulation algorithms for dynamic probabilistic networks, K. Kanazawa, D. Koller, and S.J. Russell. Proceedings of the 11th Annual Conference on Uncertainty in AI (UAI) , Montreal, Canada, August 1995, pages 346--351.
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Local Learning in Probabilistic Networks with Hidden Variables, S.J. Russell, J. Binder, D. Koller, and K. Kanazawa. Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI) , Montreal, Canada, August 1995, pages 1146--1152.
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Representation dependence in probabilistic inference, J.Y. Halpern and D. Koller. Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI) , Montreal, Canada, August 1995, pages 1853--1860.
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Generating and solving imperfect information games, D. Koller and A.J. Pfeffer. Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI) , Montreal, Canada, August 1995, pages 1185--1192.
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Constructing flexible dynamic belief networks from first-order probabilistic knowledge bases, S. Glesner and D. Koller. {\em Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU) , Fribourg, Switzerland, July 1995. In Lecture Notes in Artificial Intelligence, Ch. Froidevaux and J. Kohlas (Eds.), Springer Verlag, 1995, pages 217-226.
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A game-theoretic classification of interactive complexity classes, J. Feigenbaum, D. Koller, and P. Shor. Proceedings of the 10th Annual IEEE Conference on Structure in Complexity Theory (STRUCTURES) , Minneapolis, Minnesota, June 1995, pages 227-237.
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(De)randomized construction of small sample spaces in NC , D.R. Karger and D. Koller. Proceedings of the 35nd Annual Symposium on the Foundations of Computer Science (FOCS) , Santa Fe, New Mexico, November 1994, pages 252-263.
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Generating new beliefs from old, F. Bacchus, A.J. Grove, and J.Y. Halpern, and D. Koller. Proceedings of the 10th Annual Conference on Uncertainty in AI (UAI) , Seattle, Washington, July 1994, pages 37--45.
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Forming beliefs about a changing world, F. Bacchus, A.J. Grove, and J.Y. Halpern, and D. Koller. Proceedings of the 12th National Conference on Artificial Intelligence (AAAI) , Seattle, Washington, August 1994, pages 222--229.
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Fast algorithms for finding randomized strategies in game trees, D. Koller, N. Megiddo, and B. von Stengel. Proceedings of the 26th ACM Symposium on Theory of Computing (STOC) , Montreal, Canada, May 1994, pages 750--759.
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Statistical foundations for default reasoning, F. Bacchus, A.J. Grove, J.Y. Halpern, and D. Koller. Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI) , Chambery, France, August 1993, pages 563--569.
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Constructing small sample spaces satisfying given constraints, D. Koller and N. Megiddo. Proceedings of the 25th ACM Symposium on Theory of Computing (STOC) , San Diego, California, May 1993, pages 268--277.
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A logic for approximate reasoning, D. Koller and J.Y. Halpern. Proceedings of the Third International Conference on Principles of Knowledge Representation and Reasoning (KR) , Cambridge, Massachusetts, October 1992, pages 153-164.
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From statistics to beliefs, F. Bacchus, A.J. Grove, J.Y. Halpern, and D. Koller. Proceedings of the 10th National Conference on Artificial Intelligence (AAAI) , San Jose, California, July 1992, pages 602-608.
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Random worlds and maximum entropy, A.J. Grove, J.Y. Halpern, and D. Koller. Proceedings of the 7th Annual IEEE Symposium on Logic in Computer Science (LICS) , Santa Cruz, California, June 1992, pages 22-33.
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Asymptotic conditional probabilities for first-order logic, A.J. Grove, J.Y. Halpern, and D. Koller. Proceedings of the 24th ACM Symposium on Theory of Computing (STOC) , Victoria, Canada, May 1992, pages 294-305.
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Finding the hidden path: time bounds for all-pairs shortest paths, D.R. Karger, D. Koller, and S.J. Phillips. Proceedings of the 32nd Annual Symposium on the Foundations of Computer Science (FOCS) , San Juan, Puerto Rico, October 1991, pages 560-568.
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Probability estimation in face of irrelevant information, A.J. Grove and D. Koller. Proceedings of the 7th Annual Conference on Uncertainty in AI (UAI) , Los Angeles, California, July 1991, pages 127-134.
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Fault-tolerant critical section management in asynchronous environments, A. Bar-Noy, D. Dolev, D. Koller, and D. Peleg. Proceedings of the Third International Workshop on Distributed Algorithms (WDAG) , Nice, France, September 1989, pages 13-23.
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Achievable cases in an asynchronous environment, H. Attiya, A. Bar-Noy, D. Dolev, D. Koller, D. Peleg, and R. Reischuk, Proceedings of the 28th Annual Symposium on the Foundations of Computer Science (FOCS) , Los Angeles, California, October 1987, pages 337-346.
PUBLICATIONS in WORKSHOPS
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Approximate probabilistic inference in dynamic processes, D. Koller. Working Notes of the 1996 AAAI Spring Symposium on Learning Dynamical Systems.
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Qualitative planning under assumptions: A preliminary report, N. Friedman and D. Koller. Working Notes of the 1994 AAAI Spring Symposium on Decision-Theoretic Planning .
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Evidence-directed belief network simplification, D. Koller. Working Notes of the 1996 AAAI Fall Symposium on Flexible Computation in Intelligent Systems.
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Learning the Parameters of First Order Probabilistic Rules, D. Koller and A. Pfeffer. Working Notes of the 1996 AAAI Fall Symposium on Learning Complex Behaviors in Adaptive Intelligent Systems.
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